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

Exam Code: Professional-Cloud-DevOps-Engineer
Certification: Cloud DevOps Engineer
Vendor: Google
Last Update: Sep 2, 2026
Questions: 201 With Expert Explanation
10  Customers Passed Google Professional-Cloud-DevOps-Engineer
93%  Average Success In Real Exam
85%  Questions came word by word from this dump
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Questions 1

Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?

Options:

A.

Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.

B.

Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.

C.

Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.

D.

Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.

Questions 2

You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?

Choose 2 answers

Options:

A.

Review current application metrics and add new ones as needed.

B.

Modify the code to capture additional information for user interaction.

C.

Analyze the web proxy logs only and capture response time of each request.

D.

Create new synthetic clients to simulate a user journey using the application.

E.

Use current and historic Request Logs to trace customer interaction with the application.

Questions 3

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.