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2025 Useful Professional-Cloud-DevOps-Engineer: Google Cloud Certified - Professional Cloud DevOps Engineer Exam Valid Real Test
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Google Professional-Cloud-DevOps-Engineer Certification is highly valued in the industry and is recognized by leading companies that use Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is an indication of the candidate's ability to design, develop, and manage cloud-based solutions using best practices and industry standards. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification provides an edge to the candidate in the job market and can lead to better career opportunities and higher salaries.
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q146-Q151):
NEW QUESTION # 146
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. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
- B. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.
- C. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
- D. Reroute the user traffic from the affected region to other regions that don't report issues.
Answer: D
Explanation:
Explanation
Google always aims to first stop the impact of an incident, and then find the root cause (unless the root cause just happens to be identified early on).
NEW QUESTION # 147
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?
- A. Use an Admission Controller to verify that incoming requests originate from approved sources.
- B. Configure the build system with protected branches that require pull request approval.
- C. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
- D. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
Answer: D
Explanation:
Explanation
The keywords here is "developers or operators". Option A the operators could push images to production without approval (operators could touch the cluster directly and the cluster cannot do any action against them).
Rest same as francisco_guerra.
NEW QUESTION # 148
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?
- A. Use Cloud Build to trigger a Spinnaker pipeline.
- B. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.
- C. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.
- D. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).
Answer: D
NEW QUESTION # 149
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?
- A. 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
- 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 Kubernetes role-based access control (RBAC) so that each team can only access its own namespace
- D. 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
Answer: C
NEW QUESTION # 150
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?
- A. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
- B. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
- C. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.
- D. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.
Answer: D
NEW QUESTION # 151
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