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Google Professional-Cloud-Security-Engineer Exam Dumps - Actual Questions Answers

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Professional-Cloud-Security-Engineer Questions and Answers

Question # 1

A customer’s company has multiple business units. Each business unit operates independently, and each has their own engineering group. Your team wants visibility into all projects created within the company and wants to organize their Google Cloud Platform (GCP) projects based on different business units. Each business unit also requires separate sets of IAM permissions.

Which strategy should you use to meet these needs?

A.

Create an organization node, and assign folders for each business unit.

B.

Establish standalone projects for each business unit, using gmail.com accounts.

C.

Assign GCP resources in a project, with a label identifying which business unit owns the resource.

D.

Assign GCP resources in a VPC for each business unit to separate network access.

Question # 2

A customer needs to prevent attackers from hijacking their domain/IP and redirecting users to a malicious site through a man-in-the-middle attack.

Which solution should this customer use?

A.

VPC Flow Logs

B.

Cloud Armor

C.

DNS Security Extensions

D.

Cloud Identity-Aware Proxy

Question # 3

Your organization is building a real-time recommendation engine using ML models that process live user activity data stored in BigQuery and Cloud Storage. Each new model developed is saved to Artifact Registry. This new system deploys models to Google Kubernetes Engine and uses Pub/Sub for message queues. Recent industry news has been reporting attacks exploiting ML model supply chains. You need to enhance the security in this serverless architecture, specifically against risks to the development and deployment pipeline. What should you do?​

A.

Limit external libraries and dependencies that are used for the ML models as much as possible. Continuously rotate encryption keys that are used to access the user data from BigQuery and Cloud Storage.​

B.

Enable container image vulnerability scanning during development and pre-deployment. Enforce Binary Authorization on images deployed from Artifact Registry to your continuous integration and continuous deployment (CI/CD) pipeline.​

C.

Thoroughly sanitize all training data prior to model development to reduce risk of poisoning attacks. Use IAM for authorization, and apply role-based restrictions to code repositories and cloud services.​

D.

Develop strict firewall rules to limit external traffic to Cloud Run instances. Integrate intrusion detection systems (IDS) for real-time anomaly detection on Pub/Sub message flows.​

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