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Google Professional-Cloud-DevOps-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Professional Cloud DevOps Engineer
Exam Number:	Professional-Cloud-DevOps-Engineer
Related Certifications:	Google Cloud Certified - Professional Cloud Security Engineer Google Cloud Certified - Professional Cloud Network Engineer Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer
Passing Score:	Not officially disclosed
Exam Price:	$200 USD
Certificate Validity Period:	2 years
Exam Format:	Multiple select, Multiple choice
Available Languages:	Japanese, English, Portuguese (Brazil), Spanish
Real Exam Qty:	Approximately 50–60
Exam Duration:	120 minutes
Recommended Training:	Google Cloud Skills Boost - DevOps Engineer Path Coursera Google Cloud DevOps Engineering Courses
Exam Registration:	Kryterion Webassessor Registration Google Cloud Certification Portal
Sample Questions:	Google Professional-Cloud-DevOps-Engineer Sample Questions
Exam Way:	Online proctored or test center (Kryterion/Webassessor)
Pre Condition:	No formal prerequisites. Recommended: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:	https://cloud.google.com/certification/cloud-devops-engineer

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Google Cloud Certified Professional Cloud DevOps Engineer exam is designed to test the skills and knowledge of professionals who can help organizations improve their software delivery pipelines and build reliable, scalable, and secure applications on Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification verifies that the candidate possesses the necessary skills to design, implement, and manage DevOps processes using GCP tools and services.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q177-Q182):

NEW QUESTION # 177
Your company follows Site Reliability Engineering principles. You are writing a postmortem for an incident, triggered by a software change, that severely affected users. You want to prevent severe incidents from happening in the future. What should you do?

A. Follow up with the employees who reviewed the changes and prescribe practices they should follow in the future.
B. Identify engineers responsible for the incident and escalate to their senior management.
C. Design a policy that will require on-call teams to immediately call engineers and management to discuss a plan of action if an incident occurs.
D. Ensure that test cases that catch errors of this type are run successfully before new software releases.

Answer: D

NEW QUESTION # 178
Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members.
What should you do?

A. Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.
B. Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
C. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.
D. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.

Answer: D

Explanation:
Explanation
https://www.terraform.io/docs/cloud/guides/recommended-practices/part3.3.html

NEW QUESTION # 179
Your company runs applications in Google Kubernetes Engine (GKE). Several applications rely on ephemeral volumes. You noticed some applications were unstable due to the DiskPressure node condition on the worker nodes. You need to identify which Pods are causing the issue, but you do not have execute access to workloads and nodes. What should you do?

A. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
B. Locate all the Pods with emptyDir volumes. Use the du -sh * command to measure volume disk usage.
C. Locate all the Pods with emptyDir volumes. use the df-h command to measure volume disk usage.
D. Check the metric by using Metrics Explorer.

Answer: A

Explanation:
The correct answer is A, Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
The node/ephemeral_storage/used_bytes metric reports the total amount of ephemeral storage used by Pods on each node1. You can use Metrics Explorer to query and visualize this metric and filter it by node name, namespace, or Pod name2. This way, you can identify which Pods are consuming the most ephemeral storage and causing disk pressure on the nodes. You do not need to have execute access to the workloads or nodes to use Metrics Explorer.
The other options are incorrect because they require execute access to the workloads or nodes, which you do not have. The df -h and du -sh * commands are Linux commands that can measure disk usage, but you need to run them inside the Pods or on the nodes, which is not possible in your scenario34.
Reference:
Monitoring metrics for Kubernetes system components, Node metrics, node/ephemeral_storage/used_bytes. Using Metrics Explorer, Querying metrics. How do I find out disk space utilization information using Linux command line?, df command. How to check disk space in Linux from the command line, du command.

NEW QUESTION # 180
You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?

A. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.
B. Reroute the user traffic from the affected region to other regions that don't report issues.
C. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
D. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.

Answer: C

NEW QUESTION # 181
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?

A. Use Cloud Build as a pipeline runner. Configure a global external Application Load Balancer with a Google Cloud Armor policy for API access.
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 private pools to connect to the private VPC.
D. Use Cloud Build as a pipeline runner. Configure a cross-region internal Application Load Balancer for API access.

Answer: C

Explanation:
Cloud Build Private Pools allow your builds to run in a secure, isolated environment with direct access to resources inside your private VPC network, without exposing them to the public internet. This is the Google- recommended approach for minimizing management overhead while maintaining strong security boundaries.
From the official documentation:
"Private pools run your builds in a dedicated and secure environment that can connect to private network resources."
- Cloud Build Private Pools Overview
"You can configure private pools to access resources in a VPC network, which enables secure access to services without using public IPs."
- Accessing Private Resources
This method eliminates the need to create and manage additional compute instances or complex load balancing setups, providing seamless integration with your private services during CI pipeline execution.

NEW QUESTION # 182
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