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Google Updated Professional-Cloud-DevOps-Engineer Exam Questions and Answers by koby

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Google Professional-Cloud-DevOps-Engineer Exam Overview :

Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Code: Professional-Cloud-DevOps-Engineer Dumps
Vendor: Google Certification: Cloud DevOps Engineer
Questions: 194 Q&A's Shared By: koby
Question 8

You recently created a Cloud Build pipeline for deploying Terraform code stored in a GitHub repository. You make Terraform code changes in short-lived branches and sometimes use tags during development. You tag releases with a semantic version when they are ready for deployment. You require your pipeline to apply the Terraform code whenever there is a new release, and you need to minimize operational overhead. What should you do?

Options:

A.

Create a build trigger with the * branch pattern.

B.

Create a build trigger with the \d+\.\d+\.\d* tag pattern.

C.

Create a build trigger with the .* tag pattern.

D.

Create a build trigger with the \d*\.\d+\.\d* branch pattern.

Discussion
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Question 9

You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?

Options:

A.

Install a toolbox container on the node in Cluster A Confirm that the routes to Cluster B are configured appropriately

B.

Use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster

C.

Use a debug container to run the traceroute command from Cluster A to Cluster B and from Cluster B to Cluster A Identify the common failure point

D.

Enable VPC Flow Logs in both VPCs and monitor packet drops

Discussion
Question 10

Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?

Options:

A.

Assign the Container Developer role to the Cloud Build service account.

B.

Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.

C.

Create a new service account with the Container Developer role and use it to run Cloud Build.

D.

Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.

Discussion
Question 11

You support a web application that runs on App Engine and uses CloudSQL and Cloud Storage for data storage. After a short spike in website traffic, you notice a big increase in latency for all user requests, increase in CPU use, and the number of processes running the application. Initial troubleshooting reveals:

After the initial spike in traffic, load levels returned to normal but users still experience high latency.

Requests for content from the CloudSQL database and images from Cloud Storage show the same high latency.

No changes were made to the website around the time the latency increased.

There is no increase in the number of errors to the users.

You expect another spike in website traffic in the coming days and want to make sure users don’t experience latency. What should you do?

Options:

A.

Upgrade the GCS buckets to Multi-Regional.

B.

Enable high availability on the CloudSQL instances.

C.

Move the application from App Engine to Compute Engine.

D.

Modify the App Engine configuration to have additional idle instances.

Discussion
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