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Professional-Cloud-DevOps-Engineer Exam Dumps : Google Cloud Certified - Professional Cloud DevOps Engineer Exam

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Question 1

You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP'S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?

Choose 2 answers

Options:

A.

Your application servers' logs

B.

Instrumentation coded directly in the client

C.

Metrics exported from the application servers

D.

GKE health checks for your application servers

E.

A synthetic client that periodically sends simulated user requests

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Question 2

Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

Options:

A.

Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.

B.

Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.

C.

Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.

D.

Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.

Question 3

Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?

Options:

A.

Configure the build system with protected branches that require pull request approval.

B.

Use an Admission Controller to verify that incoming requests originate from approved sources.

C.

Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.

D.

Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.