SCS-C02 AWS Certified Security - Specialty Question and Answers

The AWS documentation states that you can deploy the Lambda functions inside the VPC and attach a security group to the Lambda functions. You can then provide outbound rule access to the VPC CIDR range only and update the DB instance security group to allow traffic from the Lambda security group. This method is the most secure way to meet the requirements.

To enforce end-to-end encryption in transit, the company should do the following:

Update the web application configuration on the web servers to use HTTPS instead of HTTP when connecting to DynamoDB. This ensures that the data is encrypted when it travels from the web servers to the data store.

Update the CloudFront distribution to redirect HTTP requests to HTTPS. This ensures that the viewers always use HTTPS when they access the website through CloudFront.

Update the ALB to listen using HTTPS using the public ACM TLS certificate. Update the CloudFront distribution to connect to the HTTPS listener. This ensures that the data is encrypted when it travels from CloudFront to the ALB and from the ALB to the web servers.

Restrict Root User Capabilities Using Service Control Policies (SCPs):

SCPs in AWS Organizations provide the ability to control permissions for AWS accounts in the organization.

Create a new organizational unit (OU) and move all member accounts into this OU.

Create SCP for Root User Restrictions:

Define an SCP that denies critical actions likeiam:CreateUser,iam:DeleteUser, or other high-risk actions for the root user. Example SCP:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Deny",

"Action": "*",

"Resource": "*",

"Condition": {

"StringEquals": {

"aws:PrincipalAccountRoot": "true"

}

}

}

]

}

Enforce Multi-Factor Authentication (MFA):

Enable MFA on root accounts for additional security.

Monitor Root User Activity:

Use AWS CloudTrail to monitor and log root user actions. Configure alerts with CloudWatch for any unauthorized root usage.

AWS Organizations SCP Documentation

Best Practices for Root User Account

Although you can use a IAM policy to prevent users launching resources in other regions. The best practice is to use SCP when using AWS organizations.https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps_examples_general.html#example-scp-deny-region

IAM paths allow organizations to logically group IAM resources such as roles. By setting IAM paths for different teams, the company can identify and control access granularly. The iam:PassRole action is critical for delegating permissions, especially to AWS services. By attaching a Service Control Policy (SCP) that denies iam:PassRole for all roles except those in the platform team's IAM path, the organization enforces centralized delegation control.

This approach fulfills the need for logical grouping (via paths) and enforces delegated access through SCPs, in line with IAM and Governance best practices.

Amazon Security Lake, when configured with a delegated administrator account in AWS Organizations, provides a centralized solution for aggregating, organizing, and prioritizing security data from multiple sources including AWS services, AWS Marketplace solutions, and on-premises systems. By enabling Security Lake for the organization and adding the necessary AWS accounts, the solution centralizes the collection and analysis of log data. This setup leverages the organization's structure to streamline log aggregation and normalization, making it an efficient solution for the specified requirements. The use of Amazon Athena for querying the log data further enhances the ability to analyze and respond to security findings across the organization.

The correct answer is C. The GuardDuty integration with Security Hub was never activated in the AWS account where the finding was generated.

The reason is that Security Hub does not automatically receive findings from GuardDuty unless the integration is activated in each AWS account.According to the AWS documentation1, “The Amazon GuardDuty integration with Security Hub enables you to send findings from GuardDuty to Security Hub. Security Hub can then include those findings in its analysis of your security posture.” However, this integration is not enabled by default and requires manual activation in each AWS account.The documentation1also states that “You must activate the integration in each AWS account that you want to send findings from GuardDuty to Security Hub.”

Therefore, even though the company has configured the security tooling account as the delegated administrator for GuardDuty and Security Hub, and has enabled these services for existing and new AWS accounts, it still needs to activate the GuardDuty integration with Security Hub in each account. Otherwise, the findings from GuardDuty will not be sent to Security Hub and will not be visible in the delegated administrator account.

The other options are incorrect because:

A. VPC flow logs are not required for GuardDuty to generate DNS findings. GuardDuty uses VPC flow logs as one of the data sources for network connection findings, but not for DNS findings.According to the AWS documentation2, “GuardDuty uses VPC Flow Logs as a data source for network connection findings.”

B. The VPC DHCP option configured for a custom OpenDNS resolver does not affect GuardDuty’s ability to generate DNS findings. GuardDuty uses DNS logs as one of the data sources for DNS findings, regardless of the DNS resolver used by the VPC.According to the AWS documentation2, “GuardDuty uses DNS logs as a data source for DNS activity findings.”

D. Cross-Region aggregation in Security Hub is not relevant for this scenario, since the company operates out of a single AWS Region. Cross-Region aggregation in Security Hub allows you to aggregate security findings from multiple Regions into a single Region, where you can view and manage them. However, this feature is not needed if the company only uses one Region.According to the AWS documentation3, “Cross-Region aggregation enables you to aggregate security findings from multiple Regions into a single Region.”

To allow cross-account access to resources using IAM roles, the following steps are required:

Create a role in the AWS account that contains the resources (the trusting account) and specify the AWS account that contains the IAM user (the trusted account) as a trusted entity in the role’s trust policy. This allows users from the trusted account to assume the role and access resources in the trusting account.

Ensure that the IAM user has permission to assume the role in their own AWS account. This can be done by creating an identity policy that allows the sts:AssumeRole action and attaching it to the IAM user or their group.

Ensure that there are no service control policies (SCPs) in the organization that owns the resources that deny or restrict access to the sts:AssumeRole action or the role itself. SCPs are applied to all accounts in an organization and can override any permissions granted by IAM policies.

Verified References:

https://repost.aws/knowledge-center/cross-account-access-iam

https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_accounts_access.html

https://docs.aws.amazon.com/IAM/latest/UserGuide/tutorial_cross-account-with-roles.html

To ensure that the EC2 instances are logged, the security engineer should do the following:

Use AWS DNS resolvers for all EC2 instances. This allows the security engineer to use Amazon-provided DNS servers that resolve public DNS hostnames to private IP addresses within their VPC, and that log DNS queries in Amazon CloudWatch Logs.

To prevent users from directly accessing an Application Load Balancer and allow access only through CloudFront, complete these high-level steps: Configure CloudFront to add a custom HTTP header to requests that it sends to the Application Load Balancer. Configure the Application Load Balancer to only forward requests that contain the custom HTTP header. (Optional) Require HTTPS to improve the security of this solution.https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/restrict-access-to-load-balancer.html

The most likely cause of the error is that the instance profile for the EC2 instance does not have the s3:PutObject permission for the S3 bucket. This permission is needed to upload logs to the bucket. Therefore, the security engineer should ensure that the instance profile has this permission.

One possible solution is to attach the AWSImageBuilderFullAccess policy to the instance profile for the EC2 instance. This policy grants full access to Image Builder resources and related AWS services, including the s3:PutObject permission for any bucket with “imagebuilder” in its name. However, this policy may grant more permissions than necessary, which violates the principle of least privilege.

Another possible solution is to create a custom policy that only grants the s3:PutObject permission for the specific S3 bucket that is used for logging. This policy can be attached to the instance profile along with the other policies that are required for Image Builder functionality: EC2InstanceProfileForImageBuilder, EC2InstanceProfileForImageBuilderECRContainerBuilds, and AmazonSSMManagedInstanceCore. This solution follows the principle of least privilege more closely than the previous one.

Ensure that the following policies are attached to the instance profile for the EC2 instance: EC2InstanceProfileForImageBuilder, EC2InstanceProfileForImageBuilderECRContainerBuilds, and AmazonSSMManagedInstanceCore.

Ensure that the instance profile for the EC2 instance has the s3:PutObject permission for the S3 bucket. This can be done by either attaching the AWSImageBuilderFullAccess policy or creating a custom policy with this permission.

1: Using managed policies for EC2 Image Builder - EC2 Image Builder 2: PutObject - Amazon Simple Storage Service 3: AWSImageBuilderFullAccess - AWS Managed Policy

Enable Amazon GuardDuty:

GuardDuty is a threat detection service that natively supports detecting cryptocurrency mining activity on Amazon EC2 instances.

Enable GuardDuty for the account and all AWS Regions to ensure comprehensive coverage.

Monitor GuardDuty Findings:

GuardDuty generates findings for activities associated with cryptocurrency mining (e.g., unauthorized mining, DNS queries to known mining domains).

Create an EventBridge Rule:

Define an EventBridge rule that triggers on specific GuardDuty findings related to cryptocurrency activity.

Configure the rule to send notifications to an Amazon SNS topic.

Example Rule:

{

"Source": ["aws.guardduty"],

"DetailType": ["GuardDuty Finding"],

"Detail": {

"type": ["CryptoCurrency:EC2/BitcoinTool.B"]

}

}

Advantages of GuardDuty:

Automated Threat Detection: Requires no additional setup or custom rules.

Near-Real-Time Alerts: Delivers findings and notifications with minimal delay.

Amazon GuardDuty Documentation

Creating EventBridge Rules for GuardDuty Findings

The correct answer is D. The AWS Config rules have a MaximumExecutionFrequency value of 24 hours.

According to the AWS documentation1, the MaximumExecutionFrequency parameter specifies the maximum frequency with which AWS Config runs evaluations for a rule. For AWS Config managed rules, this value can be one of the following:

One_Hour

Three_Hours

Six_Hours

Twelve_Hours

TwentyFour_Hours

If the rule is triggered by configuration changes, it will still run evaluations when AWS Config delivers the configuration snapshot. However, if the rule is triggered periodically, it will not run evaluations more often than the specified frequency.

In this case, the security engineer enabled four AWS Config managed rules that are triggered periodically. Therefore, these rules will only run evaluations every 24 hours, regardless of when the IAM credential report is generated. This means that the resources will display as noncompliant until the next evaluation cycle, which could take up to 24 hours after the IAM access keys are rotated.

The other options are incorrect because:

A. The IAM credential report can be generated at any time, but it will not affect the compliance status of the resources until the next evaluation cycle of the AWS Config rules.

B. The security engineer was able to invoke the IAM GenerateCredentialReport API operation, which means they have the GenerateCredentialReport permission.This permission is required to generate a credential report that lists all IAM users in an AWS account and their credential status2.

C. The security engineer does not need the GetCredentialReport permission to enable or evaluate AWS Config rules.This permission is required to retrieve a credential report that was previously generated by using the GenerateCredentialReport operation2.

Option A: This option meets the requirements of following security best practices and configuring sensitive database credentials in the CloudFormation template. A dynamic reference is a way to specify external values that are stored and managed in other services,such as Secrets Manager, in the stack templates1. When using a dynamic reference, CloudFormation retrieves the value of the specified reference when necessary during stack and change set operations1. Dynamic references can be used for certain resources that support them, such as AWS::RDS::DBInstance1. By using a dynamic reference to reference the database credentials in Secrets Manager, the company can leverage the existing integration between these services and avoid hardcoding the secret information in the template. Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources2. Secrets Manager enables you to rotate, manage,and retrieve database credentials, API keys, and other secrets throughout theirlifecycle2.

This solution ensures that the Lambda functions are deployed inside the VPC and can communicate with the Amazon RDS DB instance securely. The security group attached to the Lambda functions only allows outbound traffic to the VPC CIDR range, and the DB instance security group only allows traffic from the Lambda security group. This solution ensures that the Lambda functions can communicate with the DB instance securely and that the DB instance is not exposed to the public internet.

Use AWS Systems Manager Session Manager:

AWS Systems Manager Session Manager provides a secure way to access Amazon EC2 instances without requiring SSH keys, opening inbound ports, or maintaining bastion hosts.

This complies with the company's requirement of not managing SSH keys or maintaining bastion hosts.

Configure Session Manager Logging to CloudWatch:

In the Systems Manager Console, configure Session Manager to upload session logs to Amazon CloudWatch Logs.

This ensures all session activity logs are recorded and stored securely.

Encrypt Logs in CloudWatch:

Use an AWS Key Management Service (AWS KMS) key to encrypt the logs in CloudWatch Logs. Ensure that the CloudWatch log group is configured to use an encrypted KMS key.

This meets the requirement to encrypt logs.

Monitor Logs for Compliance and Security:

Monitor the CloudWatch Logs to ensure proper access and record all activity for compliance purposes.

AWS Systems Manager Session Manager Documentation

Encrypting CloudWatch Logs with KMS

AWS Best Practices for Accessing EC2 Instances

The correct answer is B. Create an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the third-party ticketing email system to the SNS topic. Create an Amazon EventBridge rule that includes an event pattern that matches High severity GuardDuty findings. Specify the SNS topic as the target for the Event-Bridge rule.

According to the AWS documentation1, you can use Amazon EventBridge to create rules that match events from GuardDuty and route them to targets such as Amazon SNS topics. You can use event patterns to filter events based on criteria such as severity, type, or resource. For example, you can create a rule that matches only High severity findings and sends them to an SNS topic that is subscribed by a third-party ticketing email system. This way, you can automate the creation of tickets for High severity findings and notify the security team.

this is a way to configure a Classic Load Balancer with perfect forward secrecy cipher suites. Perfect forward secrecy is a property of encryption protocols that ensures that past and current TLS traffic stays secure even if the certificate private key is leaked. Cipher suites are sets of algorithms that determine how encryption is performed. A custom security policy is a set of cipher suites and protocols that you can select for your load balancer to support. An HTTPS listener is a process that checks for connection requests using encrypted SSL/TLS protocol. By using an HTTPS listener that uses a custom security policy that allows only perfect forward secrecy cipher suites, you can ensure that your Classic Load Balancer meets the requirements. The other options are either invalid or insufficient for configuring a Classic Load Balancer with perfect forward secrecy cipher suites.

The AWS documentation states that you can create a new AMI without the potentially compromised credentials and create an 1AM role that includes the correct permissions. You can then create a launch template for the Auto Scaling group to reference the new AMI and 1AM role. This method is the most secure way to remediate the security concerns without causing downtime for the application.

The fastest way to identify the federated user who terminated a production Amazon EC2 instance is to filter the IAM CloudTrail event history for the TerminateInstances event and identify the assumed IAM role. Then, review the AssumeRoleWithSAML event call in CloudTrail to identify the corresponding username. This method does not require any additional tools or queries, and it directly links the IAM role with the federated user.

Option A is incorrect because the role session name may not be the same as the federated user name, and it may not be unique or descriptive enough to identify the user.

Option C is incorrect because the IAM Access Advisor tab only shows when a role was last accessed, not by whom or for what purpose. It also does not show the specific time of access, only the date.

Option D is incorrect because using Amazon Athena to run SQL queries on the IAM CloudTrail logs is not the fastest way to identify the federated user, as it requires creating a table schema and running multiple queries. It also assumes that the federation is done using web identity providers, not SAML providers, as indicated by the AssumeRoleWithWebIdentity event. References:

AWS Identity and Access Management

Logging AWS STS API Calls with AWS CloudTrail

[Using Amazon Athena to Query S3 Data for CloudTrail Analysis]

The correct answer is B, D, and F. Designate an AWS account in an organization in AWS Organizations as a delegated administrator for Security Hub. Publish events to Amazon EventBridge from the delegated administrator account, all member accounts, and required Regions that are enabled for Security Hub findings. In each Region, create an Amazon EventBridge rule to deliver findings to an Amazon Kinesis Data Firehose delivery stream. Configure the Kinesis Data Firehose delivery streams to deliver the logs to a single Amazon S3 bucket. Partition the Amazon S3 data. Use AWS Glue to crawl the S3 bucket andbuild the schema. Use Amazon Athena to query the data and create views to flatten nested attributes. Build Amazon QuickSight dashboards that use the Athena views.

According to the AWS documentation, AWS Security Hub is a service that provides you with a comprehensive view of your security state across your AWS accounts, and helps you check your environment against security standards and best practices. You can use Security Hub to aggregate security findings from various sources, such as AWS services, partner products, or your own applications.

To use Security Hub with multiple AWS accounts and Regions, you need to enable AWS Organizations with all features enabled. This allows you to centrally manage your accounts and apply policies across your organization. You can also use Security Hub as a service principal for AWS Organizations, which lets you designate a delegated administrator account for Security Hub. The delegated administrator account can enable Security Hub automatically in all existing and future accounts in your organization, and can view and manage findings from all accounts.

According to the AWS documentation, Amazon EventBridge is a serverless event bus that makes it easy to connect applications using data from your own applications, integrated software as a service (SaaS) applications, and AWS services. You can use EventBridge to create rules that match events from various sources and route them to targets for processing.

To use EventBridge with Security Hub findings, you need to enable Security Hub as an event source in EventBridge. This will allow you to publish events from Security Hub to EventBridge in the same Region. You can then create EventBridge rules that match Security Hub findings based on criteria such as severity, type, or resource. You can also specify targets for your rules, such as Lambda functions, SNS topics, or Kinesis Data Firehose delivery streams.

According to the AWS documentation, Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon Elasticsearch Service (Amazon ES), and Splunk. You can use Kinesis Data Firehose to transform and enrich your data before delivering it to your destination.

To use Kinesis Data Firehose with Security Hub findings, you need to create a Kinesis Data Firehose delivery stream in each Region where you have enabled Security Hub. You can then configure the delivery stream to receive events from EventBridge as a source, and deliver the logs to a single S3 bucket as a destination. You can also enable data transformation or compression on the delivery stream if needed.

According to the AWS documentation, Amazon S3 is an object storage service that offers scalability, data availability, security, and performance. You can use S3 to store and retrieve any amount of data from anywhere on the web. You can also use S3 features such as lifecycle management, encryption, versioning, and replication to optimize your storage.

To use S3 with Security Hub findings, you need to create an S3 bucket that will store the logs from Kinesis Data Firehose delivery streams. You can then partition the data in the bucket by using prefixes such as account ID or Region. This will improve the performance and cost-effectiveness of querying the data.

According to the AWS documentation, AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. You canuse Glue to crawl your data sources, identify data formats, and suggest schemas and transformations. You can also use Glue Data Catalog as a central metadata repository for your data assets.

To use Glue with Security Hub findings, you need to create a Glue crawler that will crawl the S3 bucket and build the schema for the data. The crawler will create tables in the Glue Data Catalog that you can query using standard SQL.

According to the AWS documentation, Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. You can use Athena with Glue Data Catalog as a metadata store for your tables.

To use Athena with Security Hub findings, you need to create views in Athena that will flatten nested attributes in the data. For example, you can create views that extract fields such as account ID, Region, resource type, resource ID, finding type, finding title, and finding description from the data. You can then query the views using SQL and join them with other tables if needed.

According to the AWS documentation, Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization. You can use QuickSight to create and publish interactive dashboards that include machine learning insights. You can also use QuickSight to connect to various data sources, such as Athena, S3, or RDS.

To use QuickSight with Security Hub findings, you need to create QuickSight dashboards that use the Athena views as data sources. You can then visualize and analyze the findings using charts, graphs, maps, or tables. You can also apply filters, calculations, or aggregations to the data. You can then share the dashboards with your users or embed them in your applications.

To implement host-based security for Amazon EC2 instances and containers in Amazon ECR with minimal operational overhead and ensure automatic deployment and scanning for new workloads, the recommended solution is to configure a delegated administrator for Amazon Inspector within the AWS Organizations structure. By enabling Amazon Inspector for the organization and configuring it to automatically scan new member accounts, the company can ensure that all EC2 instances and ECR containers are analyzed for software vulnerabilities and unintended network exposure. Amazon Inspector will automatically assess the workloads and push findings to AWS Security Hub, providing centralized security monitoring and compliance checking. This approach ensures that as new accounts orworkloads are added, they are automatically included in the security assessments, maintaining a consistent security posture across the organization with minimal manual intervention.

In an AWS environment where a VPC has no internet access and requires communication with AWS services such as Secrets Manager, the most secure method is to use an interface VPC endpoint (AWS PrivateLink). This allows private connectivity to services like Secrets Manager, enabling AWS Lambda functions and other resources within the VPC to access Secrets Manager without requiring an internet gateway, NAT gateway, or VPN connection. Interface VPC endpoints are powered by AWS PrivateLink, a technology that enables private connectivity between AWS services using Elastic Network Interfaces (ENI) with private IPs in your VPCs. This option is more secure than creating a NAT gateway because it doesn't expose the resources to the internet and adheres to the principle of least privilege by providing direct access to only the required service.

To grant appropriate access to the application modules, the security engineer should do the following:

Configure an IAM policy for each module. Specify the ARN of an Amazon Redshift database user that allows the GetClusterCredentials API call. This allows the application modules to use temporary credentials to access the database with the permissions of the specified user.

Create local database users for each module. This allows the security engineer to create separate users for read/write and read-only functionality, and to assign them different privileges on the database tables.

Comprehensive Detailed Explanation with all AWS References

To achieve centralized visibility of security findings from Amazon GuardDuty detectors in multiple AWS accounts under an AWS Organization, the best approach is to integrate GuardDuty withAWS Security Hub.

AWS Security Hub Overview:

Security Hub provides a unified view of security alerts and compliance checks across AWS accounts.

It supports integration with GuardDuty to automatically ingest and display findings in a centralized manner.

To allow cross-account access to a KMS key, the key policy of the KMS key must grant permission to the external account or principal, and the IAM policy of the external account or principal must delegate the key policy permission. In this case, the new Lambda function in the development account needs to use the KMS key in the security account, so the key policy of the KMS key must allow access to the IAM role of the new Lambda function in the development account (option E), and the IAM role of the new Lambda function in the development account must have an IAM policy that allows access to the KMS key in the security account (option C). Option A is incorrect because it creates an IAM role for the new Lambda function in the security account, not in the development account. Option B is incorrect because it attaches a key policy to an IAM role, which is not valid. Option D is incorrect because it allows access to the IAM role of the new Lambda function in the security account, not in the development account.Verified References:

https://docs.aws.amazon.com/kms/latest/developerguide/key-policy-modifying-external-accounts.html

https://docs.aws.amazon.com/autoscaling/ec2/userguide/key-policy-requirements-EBS-encryption.html

Amazon CloudWatch monitoring is a service that collects and tracksmetrics fromAWS resources and applications, and provides visualization tools and alarms to monitor performance and availability1. The health status data in format can be sent to CloudWatch as custom metrics2, and then displayed in CloudWatch dashboards3. The other options are either inefficient or insecure for monitoring application availability in near-real time.

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-eni.html#eni-basics Source/destination checking "You must disable source/destination checks if the instance runs services such as network address translation, routing, or firewalls."

The correct answer is C. Disable the Network Source/Destination check on the security appliance’s elastic network interface.

This answer is correct because disabling the Network Source/Destination check allows the virtual security appliance to route traffic that is not addressed to or from itself. By default, this check is enabled on all EC2 instances, and it prevents them from forwarding traffic that does not match their own IP or MAC addresses.However, for a virtual security appliance that acts as a router or a firewall, this check needs to be disabled, otherwise it will drop the traffic that it is supposed to route12.

The other options are incorrect because:

A. Disabling network ACLs is not a solution, because network ACLs are optional layers of security for the subnets in a VPC.They can be used to allow or deny traffic based on IP addresses and ports, but they donot affect the routing behavior of the virtual security appliance3.

B. Configuring the security appliance’s elastic network interface for promiscuous mode is not a solution, because promiscuous mode is a mode for a network interface that causes it to pass all traffic it receives to the CPU, rather than passing only the frames that it is programmed to receive.Promiscuous mode is normally used for packet sniffing or monitoring, but it does not enable the network interface to route traffic4.

D. Placing the security appliance in the public subnet with the internet gateway is not a solution, because it does not address the routing issue of the virtual security appliance.Thesecurity appliance can be placed in either a public or a private subnet, depending on the network design and security requirements, but it still needs to have the Network Source/Destination check disabled to route traffic properly5.

 To meet the requirement of rotating the AWS KMS customer managed key every year, the most appropriate solution would be to enable automatic key rotation annually for the existing customer managed key. This will ensure that AWS KMS generates new cryptographic material for the CMK every year. AWS KMS also saves the CMK’s older cryptographic material in perpetuity so it can be used to decrypt data that it encrypted. AWS KMS does not delete any rotated key material until you delete the CMK.

Understand the Issue:

KMS grants are created using theCreateGrantoperation.

The grant might not propagate immediately for use, leading toAccessDeniedExceptionerrors.

Use Grant Tokens for Immediate Access:

When a grant is created, AWS KMS provides a grant token in the response.

This grant token can be used immediately, even before the grant is fully propagated.

Implement Solution:

Pass the grant token returned byCreateGrantto the users.

Ensure users include the grant token in their requests to encrypt data.

AWS KMS Grant Tokens Documentation

Troubleshooting KMS AccessDenied Errors

Amazon Kinesis and Amazon Elasticsearch are both suitable for forensic-logging solutions. Amazon Kinesis can collect, process, and analyze streaming data in real time3. Amazon Elasticsearch can store, search, and analyze log data using the popular open-source tool Elasticsearch. The other options are not designed for forensic-logging purposes. Amazon Athena is a query service that can analyze data in S3, Amazon SQS is a message queue service that can decouple and scale microservices, and AmazonEMR is a big data platform that can run Apache Spark and Hadoop clusters.

Q: Which data sources does GuardDuty analyze? GuardDuty analyzes CloudTrail management event logs, CloudTrail S3 data event logs, VPC Flow Logs, DNS query logs, and Amazon EKS audit logs. GuardDuty can also scan EBS volume data for possible malware when GuardDuty Malware Protection is enabled and identifies suspicious behavior indicative of malicious software in EC2 instance or container workloads. The service is optimized to consume large data volumes for near real-time processing of security detections. GuardDuty gives you access to built-in detection techniques developed and optimized for the cloud, which are maintained and continuously improved upon by GuardDuty engineering.

Using AWS WAF with an Application Load Balancer (ALB) allows you to mitigate SQL injection attacks quickly by deploying managed rule groups designed for common web exploits. This method allows the existing EC2 instances to continue operating without changes, minimizing disruption.

By fronting the EC2 instances with an ALB, you can then:

Apply WAF rules

Redirect DNS records from Route 53 to the ALB

Restrict direct EC2 access via security groups

This approach is rapid, low effort, and preserves availability, making it ideal for critical, time-sensitive security mitigations.

the schedule key deletion function within KMS allows you to specify a waiting period before deleting a customer master key (CMK)4. The minimum waiting period is 7 days and the maximum is 30 days5. This function prevents the CMK from being used for encryption or decryption operations during the waiting period4. The other options are either invalid or ineffective for deleting a CMK within a 24-hour timeframe.

This solution meets the requirement of recovering the EC2 instances if the AWS account is compromised and the EBS snapshots are deleted. By creating a new AWS account with limited privileges, the company can isolate the backup snapshots from the main account and reduce the risk of accidental or malicious deletion. By allowing the new account to access the KMS key that encrypts the EBS snapshots, the company can ensure that the snapshots are copied in an encrypted form and can be decrypted when needed. By copying the encrypted snapshots to the new account on a recurring basis, the company can maintain a consistent backup schedule and minimize data loss.

Amazon EventBridge can directly monitor CloudTrail events, including root login attempts. By creating an EventBridge rule to trigger on a root sign-in event (ConsoleLogin with userIdentity.type as Root), you can immediately send alerts to SNS, fulfilling the requirement for real-time notifications.

This solution is low-maintenance and efficient, following best practices in real-time security event monitoring under the Logging and Monitoring domain.

To ensure minimal latency and regional availability of secrets, encrypting secrets in us-east-1 with a customer-managed KMS key and then replicating them to us-west-1 for encryption with the same key is the optimal approach. This method leverages customer-managed KMS keys for enhanced control and ensures that secrets are available in both regions, adhering to disaster recovery principles and minimizing latency by using regional endpoints.

When using server-side encryption with AWS KMS keys (SSE-KMS), the requester must have both Amazon S3 permissions and AWS KMS permissions to access the objects. The Amazon S3 permissions are for the bucket and object operations, such as s3:ListBucket and s3:GetObject. The AWS KMS permissions are for the key operations, such as kms:GenerateDataKey and kms:Decrypt. In this case, the IAM role has the necessary Amazon S3 permissions, but not the AWS KMS permissions to use the customer managed key that encrypts the objects. Therefore, the IAM role receives an access denied message when trying to access the objects.Verified References:

https://docs.aws.amazon.com/AmazonS3/latest/userguide/troubleshoot-403-errors.html

https://repost.aws/knowledge-center/s3-access-denied-error-kms

https://repost.aws/knowledge-center/cross-account-access-denied-error-s3

The correct answer is B. Configure CloudTrail to send events to Amazon CloudWatch Logs. Create a metric filter for the relevant log group. Create a filter pattern with eventName matching ConsoleLogin and errorMessage matching “Failed authentication”. Create a CloudWatch alarm with a threshold of 3 and a period of 5 minutes.

This answer is correct because it meets the requirements of sending an alert when three or more failed sign-in attempts to the AWS Management Console occur during a 5-minute period. By configuring CloudTrail to send events to CloudWatch Logs, the securityengineer can create a metric filter that matches the desired pattern of failed sign-in events.Then, by creating a CloudWatch alarm based on the metric filter, the security engineer can set a threshold of 3 and a period of 5 minutes, and choose an action such as sending an email or an Amazon Simple Notification Service (Amazon SNS) message when the alarm is triggered12.

The other options are incorrect because:

A. Turning on Insights events on the trail and configuring an alarm on the insight is not a solution, because Insights events are used to analyze unusual activity in management events, such as spikes in API call volume or error rates.Insights events do not capturefailed sign-in attempts to the AWS Management Console3.

C. Creating an Amazon Athena table from the CloudTrail events and running a query for failed sign-in events is not a solution, because it does not provide a mechanism to send an alert based on the query results.Amazon Athena is an interactive query service that allows analyzing data in Amazon S3 using standard SQL, but it does not support creating notifications or alarms from queries4.

D. Creating an analyzer in AWS Identity and Access Management Access Analyzer and configuring it to send an Amazon SNS notification when a failed sign-in event occurs 3 times for any IAM user within a period of 5 minutes is not a solution, because IAM Access Analyzer is not a service that monitors sign-in events, but a service that helps identify resources that are shared with external entities.IAM Access Analyzer does not generate findings for failed sign-in attempts to the AWS Management Console5.

To ensure that all new EBS volumes and EBS snapshots are encrypted at rest and minimize operational overhead, the security engineer should do the following:

Use the AWS Management Console or AWS CLI to enable encryption by default for EBS volumes in each AWS Region where the company operates. This allows the security engineer to automatically encrypt any new EBS volumes and snapshots created from those volumes, without requiring any additional actions from users.

The correct answer is C. Configure Route 53 Resolver query logging on all relevant VPCs. Send the logs to Amazon CloudWatch Logs. Use CloudWatch Insights to run queries on the source IP address and DNS name.

According to the AWS documentation1, Route 53 Resolver query logging lets you log the DNS queries that Route 53 Resolver handles for your VPCs. You can send the logs to CloudWatch Logs, Amazon S3, or Kinesis Data Firehose. The logs include information such as the following:

The AWS Region where the VPC was created

The ID of the VPC that the query originated from

The IP address of the instance that the query originated from

The instance ID of the resource that the query originated from

The date and time that the query was first made

The DNS name requested (such as prod.example.com)

The DNS record type (such as A or AAAA)

The DNS response code, such as NoError or ServFail

The DNS response data, such as the IP address that is returned in response to the DNS query

You can use CloudWatch Insights to run queries on your log data and analyze the results using graphs and statistics2. You can filter and aggregate the log data based on any field, and use operators and functions to perform calculations and transformations. For example, you can use CloudWatch Insights to find out how many queries were made for a specific domain name, or which instances made the most queries.

Therefore, this solution meets the requirements of logging and querying DNS traffic that goes to the on-premises DNS servers, showing details of the source IP address of the instance from which the query originated, and the DNS name that was requested in Route 53 Resolver.

The other options are incorrect because:

A.Using VPC Traffic Mirroring would not capture the DNS queries that go to the on-premises DNS servers, because Traffic Mirroring only copies network traffic from an elastic network interface of an EC2 instance to a target for analysis3.Traffic Mirroring does not include traffic that goes through a Route 53 Resolver outbound endpoint, which is used to forward queries to on-premises DNS servers4.Therefore, this solution would not meet the requirements.

B.Configuring VPC flow logs on all relevant VPCs would not capture the DNS name that was requested in Route 53 Resolver, because flow logs only record information about the IP traffic going to and from network interfaces in a VPC5. Flow logs do not include any information about the content or payload of a packet, such as a DNS query or response.Therefore, this solution would not meet the requirements.

D.Modifying the Route 53 Resolver rules on the authoritative domains that forward to the on-premises DNS servers would not enable logging of DNS queries, because Resolver rules only specify how to forward queries for specified domain names to your network6. Resolver rules do not have any logging functionality by themselves.Therefore, this solution would not meet the requirements.

Understand the Risk:

Unauthorized users could stop or delete CloudTrail logging, creating a gap in audit trails.

Create a Service Control Policy (SCP):

Define an SCP at the root organizational unit (OU) level. The SCP should explicitly denyStopLoggingandDeleteTrailactions.

Example SCP:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Deny",

"Action": [

"cloudtrail:StopLogging",

"cloudtrail:DeleteTrail"

],

"Resource": "*"

}

]

}

Attach the SCP:

Attach the SCP to the root OU in AWS Organizations. This ensures the policy is enforced across all accounts within the organization.

Test and Verify:

Attempt to stop or delete a CloudTrail trail to ensure the SCP prevents these actions.

AWS CloudTrail Security Best Practices

Service Control Policies Documentation

To set up a CloudFront distribution for an S3 bucket that hosts a static website, and to allow only specified IP addresses to access the website, the following steps are required:

Create a CloudFront origin access identity (OAI), which is a special CloudFront user that you can associate with your distribution. An OAI allows you to restrict access to your S3 content by using signed URLs or signed cookies. For more information, see Using an origin access identity to restrict access to your Amazon S3 content.

Create the S3 bucket policy so that only the OAI has access. This will prevent users from accessing the website directly by using S3 URLs, as they will receive an Access Denied error. To do this, use the AWS Policy Generator to create a bucket policy that grants s3:GetObject permission to the OAI, and attach it to the S3 bucket. For more information, see Restricting access to Amazon S3 content by using an origin access identity.

Create an AWS WAF web ACL and add an IP set rule. AWS WAF is a web application firewall service that lets you control access to your web applications. An IP set is a condition that specifies a list of IP addresses or IP address ranges that requests originate from. You can use an IP set rule to allow or block requests based on the IP addresses of the requesters.For more information, see Working with IP match conditions.

Associate the web ACL with the CloudFront distribution. This will ensure that the web ACL filters all requests for your website before they reach your origin. You can do this by using the AWS WAF console, API, or CLI. For more information, see Associating or disassociating a web ACL with a CloudFront distribution.

This solution will meet the requirements of allowing only specified IP addresses to access the website and preventing direct access by using S3 URLs.

The other options are incorrect because they either do not create a CloudFront distribution for the S3 bucket (A), do not use an OAI to restrict access to the S3 bucket ©, or do not use AWS WAF to block traffic from outside the specified IP addresses (D).

Verified References:

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content-restricting-access-to-s3.html

https://docs.aws.amazon.com/waf/latest/developerguide/web-acl-ip-conditions.html

https://docs.IAM.amazon.com/kms/latest/developerguide/services-parameter-store.html#parameter-store-cmk-fail

https://d1.awsstatic.com/WWPS/pdf/aws_security_incident_response.pdf

To detect suspicious activity in an AWS account for VPC hosted resources, the security engineer needs to use a service that can monitor network traffic and API calls across all AWS Regions. Amazon GuardDuty is a threat detection service that can do this by analyzing VPC Flow Logs, AWS CloudTrail event logs, and DNS logs. By activating GuardDuty across all AWS Regions, the security engineer can provide visibility for as many regions as possible. GuardDuty generates findings that contain details about the potential threats detected in the account. To respond to these findings, the security engineer needs to create a mechanism that can notify the relevant stakeholders or take remedial actions. One way to do this is to use Amazon EventBridge, which is a serverless event bus service that can connect AWS services and third-party applications. By creating an EventBridge rule that responds to GuardDuty findings and publishes them to an Amazon Simple Notification Service (Amazon SNS) topic, the security engineer can enable subscribers of the topic to receive notifications via email, SMS, or other methods. This is a cost-effective solution that does not require any additional infrastructure or code.

Utilizing CloudFront signed cookies is the simplest and most effective way to protect HLS video content for paying subscribers. Signed cookies provide access control for multiple files, such as video chunks in HLS streaming, without the need to generate a signed URL for each video chunk. This method simplifies the process for long video events with thousands of chunks, enhancing user experience while ensuring content protection.

The correct answer is D.

To implement short-term credentials for third-party AWS accounts, you can use IAM roles and trust policies. A trust policy is a policy document that defines who can assume the role. You can specify the AWS account ID of the third-party account as a principal in the trust policy, and use the sts:ExternalId condition key to enhance the security of the role. The sts:ExternalId condition key is a unique identifier that is agreed upon by both parties and included in the AssumeRole request. This way, you can prevent the “confused deputy” problem, where an unauthorized party can use the same role as a legitimate party.

Option A is incorrect because bearer token authentication with OAuth or SAML is not suitable for granting access to AWS accounts and resources. Amazon Cognito and API Gateway are used for building web and mobile applications that require user authentication and authorization.

Option B is incorrect because AWS IAM Identity Center (AWS Single Sign-On) is a service that simplifies the management of access to multiple AWS accounts and cloud applications for your workforce users. It does not support granting access to third-party AWS accounts.

Option C is incorrect because using AWS Secrets Manager to create a random external key is not necessary and adds operational complexity. You can use the sts:ExternalId condition key instead to provide a unique identifier for each external account.

To configure DNSSEC for a domain registered with Route 53, the most operationally efficient solution is to migrate the zone to Route 53 with DNSSEC signing enabled, create a key-signing key (KSK) that is based on an AWS Key Management Service (AWS KMS) customer managed key, and add a delegation signer (DS) record to the parent zone. This way, Route 53 handles the zone-signing key (ZSK) and the signing of the records in the hosted zone, and the customer only needs to manage the KSK in AWS KMS and provide the DS record to the domain registrar. Option A is incorrect because it does not involve migrating the zone to Route 53, which would simplify the DNSSEC configuration. Option B is incorrect because it creates both a ZSK and a KSK based on AWS KMS customer managed keys, which is unnecessary and less efficient than letting Route 53 manage the ZSK. Option C is incorrect because it does not involve migrating the zone to Route 53, and it requires running the dnssec-signzone command manually, which is less efficient than letting Route 53 sign the zone automatically.Verified References:

https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/domain-configure-dnssec.html

https://aws.amazon.com/about-aws/whats-new/2020/12/announcing-amazon-route-53-support-dnssec/

The correct answer is B. Instruct users to run the aws sts get-session-token CLI command and pass the multi-factor authentication --serial-number and --token-code parameters. Use these resulting values to make API/CLI calls.

According to the AWS documentation1, the aws sts get-session-token CLI command returns a set of temporary credentials for an AWS account or IAM user. The credentials consist of an access key ID, a secret access key, and a security token. These credentials are valid for the specified duration only. The session duration for IAM users can be between 15 minutes and 36 hours, with a default of 12 hours.

You can use the --serial-number and --token-code parameters to provide the MFA device serial number and the MFA code from the device. The MFA device must be associated with the user who is making the get-session-token call. If you do not provide these parameters when your IAM user or role has a policy that requires MFA, you will receive an Access Denied error.

The temporary security credentials that are returned by the get-session-token command can then be used to make subsequent API or CLI calls that require MFA authentication. You can use environment variables or a profile in your AWS CLI configuration file to specify the temporary credentials.

Therefore, this solution will resolve the problem of users being unable to perform EC2 commands using the AWS CLI, while still enforcing MFA.

The other options are incorrect because:

A. Changing the value of aws:MultiFactorAuthPresent to true will not work, because this is a condition key that is evaluated by AWS when a request is made. You cannot set this value manually in your policy or request. You must provide valid MFA information to AWS for this condition key to be true.

C. Implementing federated API/CLI access using SAML 2.0 may work, but it requires more operational effort than using the get-session-token command. You would need to configure a SAML identity provider and trust relationship with AWS, and use a custom SAML client to request temporary credentials from AWS STS. This solution may also introduce additional security risks if the identity provider is compromised.

D. Creating a role and enforcing MFA in the role trust policy may work, but it also requires more operational effort than using the get-session-token command. You would need to create a role for each user or group that needs to perform EC2 commands, and specify a trust policy that requires MFA. You would also need to grant the users permission to assume the role, and instruct them to use the sts assume-role command instead of the get-session-token command.

The correct answer is A because it meets the RPO of 1 hour by creating backups of the EC2 instances and S3 buckets every hour. It also uses AWS CloudFormation templates to replicate the existing architecture components and AWS CodeCommit to store the templates and the application configuration code. This way, the security engineer can quickly restore the environment in case of a ransomware attack.

The other options are incorrect because they do not meet the RPO of 1 hour or they do not provide a complete disaster recovery solution. Option B only creates backups of the EBS volumes and S3 objects every day, which is not frequent enough to meet the RPO. Option C does not create any backups of the EC2 instances or the S3 buckets, which are essentialfor the frontend services. Option D only creates EBS snapshots every 4 hours, which is also not frequent enough to meet the RPO. Additionally, option D relies on Amazon GuardDuty to detect and respond to ransomware attacks, which may not be effective if the attacker bypasses the preventive and detective controls.

B. Amazon Inspector now supports Lambda scanning for vulnerabilities. Designating a delegated administrator provides centralized visibility into findings across the organization.

C. Tag-based suppression enables filtering of findings for non-production resources (e.g., test or dev Lambda functions). By using tags and configuring suppression filters in Inspector, only relevant production findings appear in the dashboard.

This approach provides continuous monitoring, centralized reporting, and filtering based on environment, fulfilling Infrastructure Security requirements.

The correct answer is B because it preserves the forensic evidence from the instance in the correct order. The first step is to take a memory snapshot of the instance and store it in an S3 bucket, as memory data is volatile and can be lost when the instance is stopped. The second step is to stop the instance, which will prevent any further changes to the EBS volume. The third step is to take an EBS volume snapshot of the instance and store it in an S3 bucket, which will capture the disk state of the instance. The last two steps are to detach the instance from the Auto Scaling group and deregister it from the ALB, which will isolate the instance from the rest of the application.

The other options are incorrect because they do not preserve the forensic evidence in the correct order. Option A takes the EBS volume snapshot before the memory snapshot, which can result in inconsistent data. Option C detaches and deregisters the instance before taking any snapshots, which can affect the availability of the application. Option D stops the instance before taking the memory snapshot, which can cause the loss of memory data.

To support answer B, use the referencehttps://d1.IAMstatic.com/whitepapers/IAM-security-whitepaper.pdf

"For example, IAM Config provides a managed IAM Config Rules to ensure that encryption is turned on for all EBS volumes in your account."

To migrate the static website to AWS and meet the requirements, the following steps are required:

Migrate the website to Amazon S3, which is a highly scalable and durable object storage service that can host static websites. To do this, create an S3 bucket with the same name as the domain name of the website, enable static website hosting for the bucket, upload the website files to the bucket, and configure the bucket policy to allow public read access to the objects. For more information, see Hosting a static website on Amazon S3.

Import a public SSL certificate that is created by AWS Certificate Manager (ACM) to Amazon CloudFront, which is a global content delivery network (CDN) service that can improve the performance and security of web applications. To do this, request or import a public SSL certificate for the domain name of the website using ACM, create a CloudFront distribution with the S3 bucket as the origin, and associate the SSL certificate with the distribution. For more information, see Using alternate domain names and HTTPS.

Configure CloudFront to block traffic from outside the US, which is one of the requirements. To do this, create a CloudFront web ACL using AWS WAF, which is a web application firewall service that lets you control access to your web applications. In the web ACL, create a rule that uses a geo match condition to block requests that originate from countries other than the US. Associate the web ACL with the CloudFront distribution. For more information, see How AWS WAF works with Amazon CloudFront features.

Migrate DNS to Amazon Route 53, which is a highly available and scalable cloud DNS service that can route traffic to various AWS services. To do this, register or transfer your domain name to Route 53, create a hosted zone for your domain name, and create an alias record that points your domain name to your CloudFront distribution. For more information, see Routing traffic to an Amazon CloudFront web distribution by using your domain name.

The other options are incorrect because they either do not implement SSL/TLS encryption for the website (A), do not use managed services whenever possible (B), or do not block IP addresses from outside the US ©.

Verified References:

https://docs.aws.amazon.com/AmazonS3/latest/userguide/HostingWebsiteOnS3Setup.html

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/using-https-alternate-domain-names.html

https://docs.aws.amazon.com/waf/latest/developerguide/waf-cloudfront.html

https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-to-cloudfront-distribution.html

AWS KMS supports asymmetric KMS keys that represent a mathematically related RSA, elliptic curve (ECC), or SM2 (China Regions only) public and private key pair. These key pairs are generated in AWS KMS hardware security modules certified under the FIPS 140-2 Cryptographic Module Validation Program, except in the China (Beijing) and China (Ningxia) Regions. The private key never leaves the AWS KMS HSMs unencrypted.https://docs.aws.amazon.com/kms/latest/developerguide/symmetric-asymmetric.html

The correct answer is A because GuardDuty can detect and alert on EC2 instance credential exfiltration events. These events indicate that the credentials obtained from the EC2 instance metadata service are being used from an IP address that is owned by a differentAWS account than the one that owns the instance1. GuardDuty can also provide details such as the source and destination IP addresses, the AWS account ID of the attacker, and the API calls made using the exfiltrated credentials2.

The other options are incorrect because they do not provide the information needed to determine if the credentials were used to access the company’s resources from an external account. Option B is incorrect because Audit Manager does not generate InstanceCredentialExfiltration events. Audit Manager is a service that helpsyou continuously audit your AWS usage to simplify how you assess risk and compliance with regulations and industry standards3. Option C is incorrect because CloudTrail logs do not show the account ID of the caller for GetSessionToken API calls to AWS STS. CloudTrail logs show the account ID of the identity whose credentials were used to call the API4. Option D is incorrect because CloudWatch logs do not show the GetSessionToken API calls to AWS STS by default. CloudWatch logs can show the API calls made by AWS Lambda functions, Amazon API Gateway, and other AWS services that integrate with CloudWatch5.

Comprehensive Detailed Explanation with all AWS References

The simplest and most efficient way to enforce a data retention policy in Amazon S3 is by usingS3 Lifecycle rules:

S3 Lifecycle Rule:

Lifecycle rules allow you to automatically delete objects based on their age or last-modified date.

Specify a rule to delete objects after 45 days to meet the retention policy.

Adjusting the IAM policy attached to the IAM role used by EC2 instances to include the necessary AWS Logs API actions for publishing logs to CloudWatch Logs addresses the issue. This ensures that the EC2 instances have the required permissions to interact with CloudWatch Logs, facilitating the successful publication of logs from the instances.

To securely and cost-effectively retain log data archives for several years, the company should do the following:

Archive the data to Amazon S3 Glacier and apply a Vault Lock policy. This allows the company to use a low-cost storage class that is designed for long-term archival of data that is rarely accessed. It also allows the company to enforce compliance controls on their S3 Glacier vault by locking a vault access policy that cannot be changed.

Using Amazon EventBridge to create a rule for ACM Certificate Approaching Expiration events and configuring an SNS topic as the target provides an operationally efficient way to monitor and alert on certificate expirations. This method leverages AWS's native capabilities for event monitoring and notifications, reducing the need for custom implementations and ensuring timely alerts.

The correct answer is A. Create an AWS Service Catalog portfolio in the organization’s management account. Upload the CloudFormation template. Add the template to the portfolio’s product list. Share the portfolio with the OU.

According to the AWS documentation, AWS Service Catalog is a service that allows you to create and manage catalogs of IT services that are approved for use on AWS. You can use Service Catalog to centrally manage commonly deployed IT services and help achieve consistent governance and compliance requirements, while enabling users to quickly deploy only the approved IT services they need.

To use Service Catalog with multiple AWS accounts, you need to enable AWS Organizations with all features enabled. This allows you to centrally manage your accounts and apply policies across your organization. You can also use Service Catalog as a service principal for AWS Organizations, which lets you share your portfolios with organizational units (OUs) or accounts in your organization.

To create a Service Catalog portfolio, you need to use an administrator account, such as the organization’s management account. You can upload your CloudFormation template as a product in your portfolio, and define constraints and tags for it. You can then share your portfolio with the OU that contains the accounts for the web applications. This will allow the developers in those accounts to launch products from the shared portfolio using the Service Catalog end user console.

Option B is incorrect because CloudFormation modules are reusable components that encapsulate one or more resources and their configurations. They are not meant to be used as templates for deploying entire stacks of resources. Moreover, sharing a module with an OU does not grant access to launch stacks from it.

Option C is incorrect because creating an IAM role that has a trust policy that allows cross-account access to the portfolio is not secure. It would allow any user in the OU accounts to assume the role and access the portfolio, regardless of their job function or access requirements.

Option D is incorrect because sharing a module with an OU does not grant access to launch stacks from it. It also does not limit access to the deployment plan to only the developers who need access.

An Application Load Balancer (ALB) is a type of load balancer that operates at the application layer (layer 7) of the OSI model. It can distribute incoming traffic based on the content of the request, such as the host header, path, or query parameters. An ALB can also terminate TLS connections and decrypt requests from clients before sending them to the targets.

To implement TLS for incoming traffic to the application, the following steps are required:

Create a public ALB in a public subnet and register the EC2 instances as targets in a target group.

Create two listeners for the ALB, one on port 80 for HTTP traffic and one on port 443 for HTTPS traffic.

Create a rule for the listener on port 80 to redirect HTTP requests to HTTPS using the same host, path, and query parameters.

Provision a public TLS certificate in AWS Certificate Manager (ACM) for the domain name of the application. ACM is a service that lets you easily provision, manage, and deploy public and private SSL/TLS certificates for use with AWS services and your internal connected resources.

Attach the certificate to the listener on port 443 and configure the security policy to negotiate secure connections between clients and the ALB.

Configure the security groups for the ALB and the EC2 instances to allow inbound traffic on ports 80 and 443 from the internet and outbound traffic on any port to the EC2 instances.

This solution will meet the requirements of implementing TLS for incoming traffic without impacting performance or requiring end-to-end encryption. The ALB will handle the TLS termination and decryption, while forwarding unencrypted requests to the EC2 instances.

Verified References:

https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html

https://docs.aws.amazon.com/elasticloadbalancing/latest/application/create-https-listener.html

https://docs.aws.amazon.com/acm/latest/userguide/acm-overview.html

To see Security Hub findings for accounts that are outside the organization that includes the Security Hub administrator account, the following steps are required:

Send invitations to accounts that are outside the company’s organization from the Security Hub administrator account. This will allow the administrator account to view and manage findings from those accounts. The administrator account can send invitations by using the Security Hub console, API, or CLI.For more information, see Sending invitations to member accounts.

Send an administration request from the member accounts. This will allow the member accounts to accept the invitation from the administrator account and establish a relationship with it. The member accounts can send administration requests by using the Security Hub console, API, or CLI.For more information, see Sending administration requests.

This solution will enable the company to see Security Hub findings for many AWS accounts and AWS Regions, including accounts that are outside its own organization.

The other options are incorrect because they either do not establish a relationship between the administrator and member accounts (A, B), do not enable Security Hub for all member accounts (D), or do not use a valid service for Security Hub (F).

Verified References:

https://docs.aws.amazon.com/securityhub/latest/userguide/securityhub-member-accounts.html

The AWS documentation states that you can create an Amazon EventBridge rule to detect KMS API calls of DisableKey and ScheduleKeyDeletion. You can then create an AWS Lambda function to send an Amazon Simple Notification Service (Amazon SNS) message to the company. You can add the Lambda function as the target of the EventBridge rule. This method will meet the requirements.

https://aws.amazon.com/blogs/security/how-to-use-bucket-policies-and-apply-defense-in-depth-to-help-secure-your-amazon-s3-data/

the reason why there were no alerts on the sudo commands. Sudo commands are commands that allow a user to execute commands as another user, usually the superuser or root. CloudWatch Logs agent is a software agent that can send log data from an EC2 instance to CloudWatch Logs, a service that monitors and stores log data. The CloudWatch Logs agent needs an IAM instance profile, which is a container for an IAM role that allows applications running on an EC2 instance to make API requests to AWS services. If the IAM instance profile on the EC2 instance was not properly configured to allow the CloudWatch Logs agent to push the logs to CloudWatch, then there would be no alerts on the sudo commands. The other options are either irrelevant or invalid for explaining why there were no alerts on the sudo commands.

https://docs.aws.amazon.com/cognito/latest/developerguide/user-pool-lambda-post-authentication.html

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Overview.Encryption.html

https://aws.amazon.com/premiumsupport/knowledge-center/ebs-automatic-encryption/

To implement encryption at rest for both the EC2 instances and the Aurora DB cluster, the following steps are required:

For the EC2 instances, modify the EBS default encryption settings in the target AWS Region to enable encryption. This will ensure that any new EBS volumes created in that Region are encrypted by default using an AWS managed key. Alternatively, you can specify a customer managed key when creating new EBS volumes.For more information, see Amazon EBS encryption.

Use an Auto Scaling group instance refresh to replace the existing EC2 instances with new ones that have encrypted EBS volumes attached. An instance refresh is a feature that helps you update all instances in an Auto Scaling group in a rolling fashion without the need to manage the instance replacement process manually. For more information, see Replacing Auto Scaling instances based on an instance refresh.

For the Aurora DB cluster, create a new AWS Key Management Service (AWS KMS) encrypted DB cluster from a snapshot of the existing DB cluster. You can use either an AWS managed key or a customer managed key to encrypt the new DB cluster. You cannot enable or disable encryption for an existing DB cluster, so you have to create a new one from a snapshot.For more information, see Encrypting Amazon Aurora resources.

The other options are incorrect because they either do not enable encryption at rest for the resources (B, D), or they use the wrong service for encryption (E).

Verified References:

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSEncryption.html

https://docs.aws.amazon.com/autoscaling/ec2/userguide/asg-instance-refresh.html

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Overview.Encryption.html

By disabling SSL termination, you are leaving an unsecure connection from the ELB to the back end instances. Hence this means that part of the data transit is not being encrypted.

Option B is incorrect because this would not guarantee complete encryption of data in transit

Option C and D are incorrect because these would not guarantee encryption

For more information on SSL Listeners for your load balancer, please visit the below URL:

http://docs.IAM.amazon.com/elasticloadbalancine/latest/classic/elb-https-load-balancers.htmll

The correct answer is: Use S3 SSE and use SSL for data in transit

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The solution to receiving automated email notifications when AWS access keys are detected on code repository sites is to use Amazon EventBridge with Amazon GuardDuty findings. Specifically, creating an EventBridge rule that targets Amazon GuardDuty findings, particularly theUnauthorizedAccess:IAMUser/InstanceCredentialExfiltrationfinding type, allows for the detection of potential unauthorized use or exposure of AWS credentials. When such a finding is detected, EventBridge can then trigger an action to send a notification via Amazon Simple Notification Service (Amazon SNS). By configuring an SNS topic to send emails, stakeholders can be promptly informed of such security incidents. This approach leverages AWS's native security and monitoring services to provide timely alerts with minimal operational overhead, ensuring that the company can respond quickly to potential security breaches involving exposed AWS credentials.

To improve the security at the edge of the solution to defend against a large, layer 7 DDoS attack, the security engineer should do the following:

Configure AWS WAF with a rate-based rule that imposes a rate limit that automatically blocks requests when the rate limit is exceeded. This allows the security engineer to use a rule that tracks the number of requests from a single IP address and blocks subsequent requests if they exceed a specified threshold within a specified time period.

To address the issue of an Amazon EC2 instance receiving suspicious requests over an open TCP port, the most effective solution is to update the Network Access Control List (NACL) associated with the subnet where the EC2 instance resides. By adding a deny rule for the specific TCP port and source IP addresses involved in the suspicious activity, the security team can effectively block unwanted traffic at the subnet level. NACLs act as a stateless firewall for controlling traffic in and out of subnets, allowing for broad-based traffic filtering. This measure ensures that only legitimate traffic can reach the EC2 instance, thereby enhancing security without affecting the application's availability to other users. It's a more granular and immediate way to block specific traffic compared to modifying security group rules, which are stateful and apply at the instance level.

because these are the factors that could affect the outbound connection to the internet from a server in a private subnet. The outbound network ACL rules on the private subnet and both the inbound and outbound rules on the public subnet must allow the traffic to pass through8. The security group applied to the application load balancer and NAT gateway must also allow the traffic from the private subnet9. The 0.0.0.0/0 route in the private subnet route table must point to the NAT gateway in the public subnet, not the internet gateway10. The other options are either irrelevant or incorrect for troubleshooting the outbound connection issue.

the most secure way to meet the requirements. TLS is a protocol that provides encryption and authentication for data in transit. ALB is a service that distributes incoming traffic across multiple EC2 instances. HIDS is a system that monitors and detects malicious activity on a host. ECDHE is a type of cipher suite that supports perfect forward secrecy, which is a property that ensures that past and current TLS traffic stays secure even if the certificate private key is leaked. By creating a listener on the ALB that does not enable PFS cipher suites, and using encrypted connections to the servers using ECDHE cipher suites, you can ensure that the HIDS agents can capture the traffic of the EC2 instance without compromising the privacy of the users. The other options are either less secure or less compatible with the third-party solution.

AWS WAF Geo Match Condition:

Use AWS WAF to create a web access control list (web ACL).

Add a geo match condition to block traffic originating from the specified countries.

Associate Web ACL with CloudFront:

Attach the web ACL to the CloudFront distribution.

Requests from blocked countries will be denied at the CloudFront edge locations, ensuring compliance with data regulation policies.

Advantages of Using AWS WAF:

Cost-effective: Only pay for WAF rules, which are more economical than alternative solutions.

Scalable: Automatically handles global traffic without additional configuration.

Alternative Options:

Using CloudFront's geo-restriction feature (Option C) is also possible but lacks the flexibility and granularity of WAF rules.

AWS WAF Geo Match Conditions

Using AWS WAF with CloudFront

The correct answer is A and C.

When using ABAC, the principal’s identity-based policy and the S3 bucket’s resource policy are both evaluated to determine the effective permissions. If either policy grants access to the principal, the action is allowed. If either policy denies access to the principal, the action is denied. Therefore, to enforce the tag-based condition, both policies must deny access when the tag values do not match.

In this case, the principal’s identity-based policy grants access to put objects into the S3 bucket with no conditions (A), which means that the policy does not check for the tag values. This policy overrides the condition in the bucket policy because an explicit allow always takes precedence over an implicit deny. The bucket policy can only allow or deny actions to the principal based on the condition, but it cannot override the identity-based policy.

The S3 bucket’s resource policy does not deny access to put objects ©, which means that it also does not check for the tag values. The bucket policy can only allow or deny actions to the principal based on the condition, but it cannot override the identity-based policy.

Therefore, the combination of factors A and C are causing the PutObject operation to succeed when the tag values are different.

The correct answer is A, C, and F.

To automate a response for any newly created policies that are overly permissive, the security engineer needs to use a combination of services that can monitor, analyze, remediate, and notify the security incidents.

Option A is correct because creating an AWS Step Functions state machine that checks the resource type in the finding and adds an explicit Deny statement in the trust policy for the IAM role is a valid way to remediate external access. AWS Step Functions is a service that allows you to coordinate multiple AWS services into serverless workflows. You can use Step Functions to invoke AWS Lambda functions, which can modify the IAM policies programmatically. You can also use Step Functions to publish a notification to an Amazon SNS topic, which can send messages to subscribers such as email addresses.

Option B is incorrect because creating an AWS Batch job that forwards any resource type findings to an AWS Lambda function is not a suitable way to automate a response. AWS Batch is a service that enables you to run batch computing workloads on AWS. Batch is designed for large-scale and long-running jobs that can benefit from parallelization and dynamic provisioning of compute resources. Batch is not intended for event-driven and real-time workflows that require immediate response.

Option C is correct because creating an Amazon EventBridge event rule that matches active IAM Access Analyzer findings and invokes AWS Step Functions for resolution is a valid way to monitor and analyze the security incidents. Amazon EventBridge is a serverless event bus service that allows you to connect your applications with data from various sources. EventBridge can use rules to match events and route them to targets for processing. You can use EventBridge to invoke AWS Step Functions state machines from the IAM Access Analyzer findings.

Option D is incorrect because creating an Amazon CloudWatch metric filter that matches active IAM Access Analyzer findings and invokes AWS Batch for resolution is not a suitable way to monitor and analyze the security incidents. Amazon CloudWatch is a service that provides monitoring and observability for your AWS resources and applications. CloudWatch can collect metrics, logs, and events from various sources and perform actions based on alarms or filters. However, CloudWatch cannot directly invoke AWS Batch jobs from the IAM Access Analyzer findings. You would need to use another service such as EventBridge or SNS to trigger the Batch job.

Option E is incorrect because creating an Amazon SQS queue that forwards a notification to the security team that an external principal has been granted access to the specific IAM role and has been blocked is not a valid way to notify the security incidents. Amazon SQS is a fully managed message queue service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS can deliver messages to consumers that poll the queue for messages. However, SQS cannot directlyforward a notification to the security team’s email addresses. You would need to use another service such as SNS or SES to send email notifications.

Option F is correct because creating an Amazon SNS topic for external or cross-account access notices and subscribing the security team’s email addresses to the topic is a valid way to notify the security incidents. Amazon SNS is a fully managed messaging service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SNS can deliver messages to a variety of endpoints, such as email, SMS, or HTTP. You can use SNS to send email notifications to the security team when a critical security finding is detected.

The correct combination of AWS solutions that will meet these requirements is A. AWS Site-to-Site VPN and B. AWS Direct Connect.

A. AWS Site-to-Site VPN is a service that allows you to securely connect your on-premises data center to your AWS VPC over the internet using IPsec encryption. This solution meets the requirement of encrypting the data in transit between the on-premises data center and AWS.

B. AWS Direct Connect is a service that allows you to establish a dedicated network connection between your on-premises data center and your AWS VPC. This solution meets the requirement of reducing network latency between the on-premises data center and AWS.

C. AWS VPN CloudHub is a service that allows you to connect multiple VPN connections from different locations to the same virtual private gateway in your AWS VPC. This solution is not relevant for this scenario, as there is only one on-premises data center involved.

D. VPC peering is a service that allows you to connect two or more VPCs in the same or different regions using private IP addresses. This solution does not meet the requirement of connecting an on-premises data center to AWS, as it only works for VPCs.

E. NAT gateway is a service that allows you to enable internet access for instances in a private subnet in your AWS VPC. This solution does not meet the requirement of connecting an on-premises data center to AWS, as it only works for outbound traffic from your VPC.

To meet the requirement of changing the key material for new files whenever a potential key breach occurs, the most appropriate solution would be to create a new customer managed key, add a key rotation schedule to the key, and invoke the key rotation schedule every time the security team requests a key change.

AWS Systems Manager Session Manager is a fully managed service that allows you to securely and remotely administer your EC2 instances without the need to open inbound ports, maintain bastion hosts, or manage SSH keys. Session Manager provides an interactive browser-based shell or CLI access to your instances, as well as port forwarding and auditing capabilities. Session Manager works with both Linux and Windows instances, and supports hybrid environments and edge devices.

EC2 Instance Connect is a feature that allows you to use SSH to connect to your Linux instances using short-lived keys that are generated on demand and delivered securely through the AWS metadata service. EC2 Instance Connect does not require any additional software installation or configuration on the instance, but it does require you to use SSH-RSA keys during the launch of new instances.

The correct answer is to use Session Manager, as it provides more security and flexibility than EC2 Instance Connect, and does not require SSH-RSA keys or inbound ports. Session Manager also works with Windows instances, while EC2 Instance Connect does not.

Verified References:

https://docs.aws.amazon.com/systems-manager/latest/userguide/session-manager.html

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/Connect-using-EC2-Instance-Connect.html

https://repost.aws/questions/QUnV4R9EoeSdW0GT3cKBUR7w/what-is-the-difference-between-ec-2-instance-connect-and-session-manager-ssh-connections

The AWS documentation states that you can create an Amazon EventBridge rule with a pattern that matches Security Hub findings events with high severity. You can then configure the rule to send the findings to a target Amazon Simple Notification Service (Amazon SNS) topic. You can subscribe the desired email addresses to the SNS topic. This method is the least operational overhead way to meet the requirements.

The error message indicates that the private key file permissions are too open, meaning that other users can read or write to the file. This is a security risk, as the private key should be accessible only by the owner of the file. To fix this error, the security administrator should use the chmod command to change the permissions of the private key file to 0400, which means that only the owner can read the file and no one else can read or write to it.

The chmod command takes a numeric argument that represents the permissions for the owner, group, and others in octal notation. Each digit corresponds to a set of permissions: read (4), write (2), and execute (1). The digits are added together to get the final permissions for each category. For example, 0400 means that the owner has read permission (4) and no other permissions (0), and the group and others have no permissions at all (0).

The other options are incorrect because they either do not change the permissions at all (D), or they give too much or too little permissions to the owner, group, or others (A, C).

Verified References:

https://superuser.com/questions/215504/permissions-on-private-key-in-ssh-folder

https://www.baeldung.com/linux/ssh-key-permissions

To ensure that IAM users in Account B can only assume a role in Account A if they are authenticated with Multi-Factor Authentication (MFA), the recommended solution is to add anaws:MultiFactorAuthPresentcondition to the role's trust policy in Account A. The trust policy defines which principals (users, applications, services) can assume the role and under what conditions. By adding theaws:MultiFactorAuthPresentcondition, the policy explicitly requires MFA to be present for the assume role action to succeed. This ensures that only authenticated users with MFA can assume the role, enhancing the security posture with minimal operational overhead and without modifying permissions or session policies, which could affect the role's intended capabilities.

For Enable Geo-Restriction, choose Yes. For Restriction Type, choose Whitelist to allow access to certain countries, or choose Blacklist to block access from certain countries.https://IAM.amazon.com/premiumsupport/knowledge-center/cloudfront-geo-restriction/