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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 are responding to a high-priority incident where a critical, user-facing payment service is experiencing a 50% error rate. The cause is a non-critical, batch analytics Dataflow pipeline flooding a shared Memorystore for Redis instance with writes, which has spiked read latency for the payment service. A full rollback of the Dataflow pipeline's deployment will take 15 minutes to complete through your CI/CD process. You need to restore the payment service as quickly as possible. What should you do?

Options:

A.

Use Cloud Profiler to inspect the Dataflow pipeline's execution graph to pinpoint the source of the excessive writes.

B.

In the Google Cloud console, edit the Memorystore for Redis instance and increase its capacity tier.

C.

Initiate an automated rollback of the Dataflow pipeline's deployment to revert to the last stable version.

D.

Cancel the active Dataflow job.

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Question 2

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

Question 3

You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to

• Reduce the complexity of release deployments and minimize the duration of deployment rollbacks

• Test real production traffic with a gradual increase in the number of affected users

You want to select a deployment and testing strategy that meets your requirements What should you do?

Options:

A.

Recreate deployment and canary testing

B.

Blue/green deployment and canary testing

C.

Rolling update deployment and A/B testing

D.

Rolling update deployment and shadow testing