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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 deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do?

Choose 2 answers

Options:

A.

Before merging new code, require 2 different peers to review the code changes.

B.

Adopt the blue/green deployment strategy when releasing new code via a CD server.

C.

Integrate a code linting tool to validate coding standards before any code is accepted into the repository.

D.

Require developers to run automated integration tests on their local development environments before release.

E.

Configure a CI server.Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.

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Question 2

You are configuring your CI/CD pipeline natively on Google Cloud. You want builds in a pre-production Google Kubernetes Engine (GKE) environment to be automatically load-tested before being promoted to the production GKE environment. You need to ensure that only builds that have passed this test are deployed to production. You want to follow Google-recommended practices. How should you configure this pipeline with Binary Authorization?

Options:

A.

Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using a key stored in Cloud Key Management Service (Cloud KMS).

B.

Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.

C.

Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) with a service account JSON key stored as a Kubernetes Secret.

D.

Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using their personal private key.

Question 3

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.