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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:
Vendor:
Questions:
194
Last Updated:
Dec 8, 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

Question 1

You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?

Options:

A.

Purchase Committed Use Discounts.

B.

Migrate the instances to a Managed Instance Group.

C.

Convert the instances to preemptible virtual machines.

D.

Create an Unmanaged Instance Group for the instances used to run the workload.

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Question 2

You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock You check the metrics for the microservice and compare them to typical levels.

You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers What should you do?

Options:

A.

Decrease the acknowledgment deadline on the subscription

B.

Add a virtual queue to the online store that allows typical traffic levels

C.

Increase the number of Pod replicas

D.

Increase the Pod CPU and memory limits

Question 3

Your company is developing applications that are deployed on Google Kubernetes Engine (GKE) Each team manages a different application You need to create the development and production environments for each team while you minimize costs Different teams should not be able to access other teams environments You want to follow Google-recommended practices What should you do?

Options:

A.

Create one Google Cloud project per team In each project create a cluster for development and one forproduction Grant the teams Identity and Access Management (1AM) access to their respective clusters

B.

Create one Google Cloud project per team In each project create a cluster with a Kubernetes namespacefor development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters.

C.

Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Identity-Aware Proxy so that each team can onlyaccess its own namespace

D.

Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace