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Professional-Cloud-DevOps-Engineer Google Exam Lab Questions

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Questions and Answers

Question 9

You support a large service with a well-defined Service Level Objective (SLO). The development team deploys new releases of the service multiple times a week. If a major incident causes the service to miss its SLO, you want the development team to shift its focus from working on features to improving service reliability. What should you do before a major incident occurs?

Options:

A.

Develop an appropriate error budget policy in cooperation with all service stakeholders.

B.

Negotiate with the product team to always prioritize service reliability over releasing new features.

C.

Negotiate with the development team to reduce the release frequency to no more than once a week.

D.

Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.

Question 10

You created a Stackdriver chart for CPU utilization in a dashboard within your workspace project. You want to share the chart with your Site Reliability Engineering (SRE) team only. You want to ensure you follow the principle of least privilege. What should you do?

Options:

A.

Share the workspace Project ID with the SRE team. Assign the SRE team the Monitoring Viewer IAM role in the workspace project.

B.

Share the workspace Project ID with the SRE team. Assign the SRE team the Dashboard Viewer IAM role in the workspace project.

C.

Click "Share chart by URL" and provide the URL to the SRE team. Assign the SRE team the Monitoring Viewer IAM role in the workspace project.

D.

Click "Share chart by URL" and provide the URL to the SRE team. Assign the SRE team the Dashboard Viewer IAM role in the workspace project.

Question 11

You are responsible for the reliability of a high-volume enterprise application. A large number of users report that an important subset of the application’s functionality – a data intensive reporting feature – is consistently failing with an HTTP 500 error. When you investigate your application’s dashboards, you notice a strong correlation between the failures and a metric that represents the size of an internal queue used for generating reports. You trace the failures to a reporting backend that is experiencing high I/O wait times. You quickly fix the issue by resizing the backend’s persistent disk (PD). How you need to create an availability Service Level Indicator (SLI) for the report generation feature. How would you define it?

Options:

A.

As the I/O wait times aggregated across all report generation backends

B.

As the proportion of report generation requests that result in a successful response

C.

As the application’s report generation queue size compared to a known-good threshold

D.

As the reporting backend PD throughout capacity compared to a known-good threshold

Question 12

You need to enforce several constraint templates across your Google Kubernetes Engine (GKE) clusters. The constraints include policy parameters, such as restricting the Kubernetes API. You must ensure that the policy parameters are stored in a GitHub repository and automatically applied when changes occur. What should you do?

Options:

A.

Set up a GitHub action to trigger Cloud Build when there is a parameter change. In Cloud Build, run a gcloud CLI command to apply the change.

B.

When there is a change in GitHub, use a web hook to send a request to Anthos Service Mesh, and apply the change.

C.

Configure Anthos Config Management with the GitHub repository. When there is a change in the repository, use Anthos Config Management to apply the change.

D.

Configure Config Connector with the GitHub repository. When there is a change in the repository, use Config Connector to apply the change.