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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q26-Q31):

NEW QUESTION # 26
You have a CI/CD pipeline that uses Cloud Build to build new Docker images and push them to Docker Hub.
You use Git for code versioning. After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline. You need to resolve the issue following Site Reliability Engineering practices. What should you do?

A. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
B. Disable the CI pipeline and revert to manually building and pushing the artifacts.
C. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.
D. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.

Answer: A

Explanation:
"After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline"- means something wrong on the recent change not with the image registry.

NEW QUESTION # 27
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. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
C. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
D. Configure the build system with protected branches that require pull request approval.

Answer: D

NEW QUESTION # 28
You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

A. * In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.* In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.
B. * In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.* In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.
C. * In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.
D. * In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.* In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.

Answer: B

NEW QUESTION # 29
You are building and running client applications in Cloud Run and Cloud Functions Your client requires that all logs must be available for one year so that the client can import the logs into their logging service You must minimize required code changes What should you do?

A. Create a storage bucket and appropriate VPC firewall rules Update all images in Cloud Run and all functions in Cloud Functions to send logs to a file within the storage bucket
B. Create a logs bucket and logging sink. Set the retention on the logs bucket to 365 days Configure the logging sink to send logs to the bucket Give your client access to the bucket to retrieve the logs
C. Create a Pub/Sub topic subscription and logging sink Configure the logging sink to send all logs into the topic Give your client access to the topic to retrieve the logs
D. Update all images in Cloud Run and all functions in Cloud Functions to send logs to both Cloud Logging and the client's logging service Ensure that all the ports required to send logs are open in the VPC firewall

Answer: B

Explanation:
Explanation
The best option for storing all logs for one year and minimizing required code changes is to create a logs bucket and logging sink, set the retention on the logs bucket to 365 days, configure the logging sink to send logs to the bucket, and give your client access to the bucket to retrieve the logs. A logs bucket is a Cloud Storage bucket that is used to store logs from Cloud Logging. A logging sink is a resource that defines where log entries are sent, such as a logs bucket, BigQuery dataset, or Pub/Sub topic. You can create a logs bucket and logging sink in Cloud Logging and set the retention on the logs bucket to 365 days. This way, you can ensure that all logs are stored for one year and protected from deletion. You can also configure the logging sink to send logs from Cloud Run and Cloud Functions to the logs bucket without any code changes. You can then give your client access to the logs bucket by using IAM policies or signed URLs.

NEW QUESTION # 30
You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?

A. Use a debug container to run the traceroute command from Cluster A to Cluster B and from Cluster B to Cluster A Identify the common failure point
B. Use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster
C. Install a toolbox container on the node in Cluster A Confirm that the routes to Cluster B are configured appropriately
D. Enable VPC Flow Logs in both VPCs and monitor packet drops

Answer: B

Explanation:
Explanation
The best option for troubleshooting the issue without having execute access to workloads and nodes is to use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B. Network Connectivity Center is a service that allows you to create, manage, and monitor network connectivity across Google Cloud, hybrid, and multi-cloud environments. You can use Network Connectivity Center to perform a Connectivity Test, which is a feature that allows you to test the reachability and latency between two endpoints, such as GKE clusters, VM instances, or IP addresses. By using Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B, you can identify the layer at which the network connectivity is broken, such as the firewall, routing, or load balancing.

NEW QUESTION # 31
......

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