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Google Professional-Cloud-DevOps-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Cloud-DevOps-Engineer
Exam Name:
Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Certification:
Cloud DevOps Engineer
Vendor:
Google
Questions:
194
Last Updated:
Dec 30, 2025
Exam Status:
Stable
Google Professional-Cloud-DevOps-Engineer

Professional-Cloud-DevOps-Engineer: Cloud DevOps Engineer Exam 2025 Study Guide Pdf and Test Engine

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

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Question 1

You are configuring a CI pipeline. The build step for your CI pipeline integration testing requires access to APIs inside your private VPC network. Your security team requires that you do not expose API traffic publicly. You need to implement a solution that minimizes management overhead. What should you do?

Options:

A.

Use Cloud Build private pools to connect to the private VPC.

B.

Use Cloud Build to create a Compute Engine instance in the private VPC. Run the integration tests on the VM by using a startup script.

C.

Use Cloud Build as a pipeline runner. Configure a cross-region internal Application Load Balancer for API access.

D.

Use Cloud Build as a pipeline runner. Configure a global external Application Load Balancer with a Google Cloud Armor policy for API access.

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Question 2

You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

Options:

A.

Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.

B.

Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.

C.

Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.

D.

Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.

Question 3

Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring. What should you do?

Options:

A.

Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.

B.

Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.

C.

Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.

D.

Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.

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