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DVA-C02 - AWS Certified Developer - Associate

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DVA-C02 Questions and Answers

Question # 1

A company is migrating an on-premises database to Amazon RDS for MySQL. The company has read-heavy workloads. The company wants to refactor the code to achieve optimum read performance for queries.

Which solution will meet this requirement with LEAST current and future effort?

A.

Use a multi-AZ Amazon RDS deployment. Increase the number of connections that the code makes to the database or increase the connection pool size if a connection pool is in use.

B.

Use a multi-AZ Amazon RDS deployment. Modify the code so that queries access the secondary RDS instance.

C.

Deploy Amazon RDS with one or more read replicas. Modify the application code so that queries use the URL for the read replicas.

D.

Use open source replication software to create a copy of the MySQL database on an Amazon EC2 instance. Modify the application code so that queries use the IP address of the EC2 instance.

Question # 2

A company has an Amazon S3 bucket that contains sensitive data. The data must be encrypted in transit and at rest. The company encrypts the data in the S3 bucket by using an AWS Key Management Service (AWS KMS) key. A developer needs to grant several other AWS accounts the permission to use the S3 GetObject operation to retrieve the data from the S3 bucket.

How can the developer enforce that all requests to retrieve the data provide encryption in transit?

A.

Define a resource-based policy on the S3 bucket to deny access when a request meets the condition “aws:SecureTransport”: “false”.

B.

Define a resource-based policy on the S3 bucket to allow access when a request meets the condition “aws:SecureTransport”: “false”.

C.

Define a role-based policy on the other accounts' roles to deny access when a request meets the condition of “aws:SecureTransport”: “false”.

D.

Define a resource-based policy on the KMS key to deny access when a request meets the condition of “aws:SecureTransport”: “false”.

Question # 3

A developer is designing a serverless application with two AWS Lambda functions to process photos. One Lambda function stores objects in an Amazon S3 bucket and stores the associated metadata in an Amazon DynamoDB table. The other Lambda function fetches the objects from the S3 bucket by using the metadata from the DynamoDB table. Both Lambda functions use the same Python library to perform complex computations and are approaching the quota for the maximum size of zipped deployment packages.

What should the developer do to reduce the size of the Lambda deployment packages with the LEAST operational overhead?

A.

Package each Python library in its own .zip file archive. Deploy each Lambda function with its own copy of the library.

B.

Create a Lambda layer with the required Python library. Use the Lambda layer in both Lambda functions.

C.

Combine the two Lambda functions into one Lambda function. Deploy the Lambda function as a single .zip file archive.

D.

Download the Python library to an S3 bucket. Program the Lambda functions to reference the object URLs.

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