Reliable Professional-Cloud-DevOps-Engineer Exam Practice & Professional-Cloud-DevOps-Engineer Real Exams
Reliable Professional-Cloud-DevOps-Engineer Exam Practice & Professional-Cloud-DevOps-Engineer Real Exams
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q74-Q79):
NEW QUESTION # 74
Your organization uses a change advisory board (CAB) to approve all changes to an existing service You want to revise this process to eliminate any negative impact on the software delivery performance What should you do?
Choose 2 answers
- A. Batch changes into larger but less frequent software releases
- B. Let developers merge their own changes but ensure that the team's deployment platform can roll back changes if any issues are discovered
- C. Replace the CAB with a senior manager to ensure continuous oversight from development to deployment
- D. Move to a peer-review based process for individual changes that is enforced at code check-in time and supported by automated tests
- E. Ensure that the team's development platform enables developers to get fast feedback on the impact of their changes
Answer: D,E
Explanation:
A change advisory board (CAB) is a traditional way of approving changes to a service, but it can slow down the software delivery performance and introduce bottlenecks. A better way to improve the speed and quality of changes is to use a peer-review based process for individual changes that is enforced at code check-in time and supported by automated tests. This way, developers can get fast feedback on the impact of their changes and catch any errors or bugs before they reach production. Additionally, the team's development platform should enable developers to get fast feedback on the impact of their changes, such as using Cloud Code, Cloud Build, or Cloud Debugger.
NEW QUESTION # 75
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (PII) is leaking into certain log entry fields. You want to prevent these fields from being written in new log entries as quickly as possible. What should you do?
- A. Stage log entries to Cloud Storage, and then trigger a Cloud Function to remove the fields and write the entries to Stackdriver via the Stackdriver Logging API.
- B. Use the fluent-plugin-record-reformer Fluentd output plugin to remove the fields from the log entries in flight.
- C. Use the filter-record-transformer Fluentd filter plugin to remove the fields from the log entries in flight.
- D. Wait for the application developers to patch the application, and then verify that the log entries are no longer exposing PII.
Answer: B
NEW QUESTION # 76
You are reviewing your deployment pipeline in Google Cloud Deploy You must reduce toil in the pipeline and you want to minimize the amount of time it takes to complete an end-to-end deployment What should you do?
Choose 2 answers
- A. Use a script to automate the creation of the deployment pipeline in Google Cloud Deploy
- B. Divide the automation steps into smaller tasks
- C. Automate promotion approvals from the development environment to the test environment
- D. Create a trigger to notify the required team to complete the next step when manual intervention is required
- E. Add more engineers to finish the manual steps.
Answer: C,D
Explanation:
The best options for reducing toil in the pipeline and minimizing the amount of time it takes to complete an end-to-end deployment are to create a trigger to notify the required team to complete the next step when manual intervention is required and to automate promotion approvals from the development environment to the test environment. A trigger is a resource that initiates a deployment when an event occurs, such as a code change, a schedule, or a manual request. You can create a trigger to notify the required team to complete the next step when manual intervention is required by using Cloud Build or Cloud Functions. This way, you can reduce the waiting time and human errors in the pipeline. A promotion approval is a process that allows you to approve or reject a deployment from one environment to another, such as from development to test. You can automate promotion approvals from the development environment to the test environment by using Google Cloud Deploy or Cloud Build. This way, you can speed up the deployment process and avoid manual steps.
NEW QUESTION # 77
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 logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.
- B. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
- C. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.
- D. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
Answer: B
NEW QUESTION # 78
Your applications performance in Google Cloud has degraded since the last release You suspect that downstream dependencies might be causing some requests to take longer to complete You need to investigate the issue with your application to determine the cause What should you do?
- A. Configure Error Reporting in your application
- B. Configure Google Cloud Managed Service for Prometheus in your application
- C. Configure Cloud Profiler in your application
- D. Configure Cloud Trace in your application
Answer: D
Explanation:
The best option for investigating the issue with your application's performance in Google Cloud is to configure Cloud Trace in your application. Cloud Trace is a service that allows you to collect and analyze latency data from your application. You can use Cloud Trace to trace requests across different components of your application, such as downstream dependencies, and identify where they take longer to complete. You can also use Cloud Trace to compare latency data across different versions of your application, and detect any performance degradation or improvement. By using Cloud Trace, you can diagnose and troubleshoot performance issues with your application in Google Cloud.
NEW QUESTION # 79
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