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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q120-Q125):

NEW QUESTION # 120
You built a serverless application by using Cloud Run and deployed the application to your production environment You want to identify the resource utilization of the application for cost optimization What should you do?

• A. Use Cloud Trace with distributed tracing to monitor the resource utilization of the application
• B. Use Cloud Profiler with Ops Agent to monitor the CPU and memory utilization of the application
• C. Use Cloud Ops to create logs-based metrics to monitor the resource utilization of the application
• D. Use Cloud Monitoring to monitor the container CPU and memory utilization of the application

Answer: A

NEW QUESTION # 121
You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

• A. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
• B. Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.
• C. Use Stackdriver Kubernetes Engine Monitoring.
• D. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.

Answer: C

Explanation:
Explanation
https://cloud.google.com/anthos/clusters/docs/on-prem/1.7/concepts/logging-and-monitoring

NEW QUESTION # 122
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?

• A. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
• B. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.
• C. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
• D. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.

Answer: A

NEW QUESTION # 123
You are developing reusable infrastructure as code modules. Each module contains integration tests that launch the module in a test project. You are using GitHub for source control. You need to Continuously test your feature branch and ensure that all code is tested before changes are accepted. You need to implement a solution to automate the integration tests. What should you do?

• A. Ask the pull request reviewers to run the integration tests before approving the code.
• B. Use a Jenkins server for Cl/CD pipelines. Periodically run all tests in the feature branch.
• C. Use Cloud Build to run tests in a specific folder. Trigger Cloud Build for every GitHub pull request.
• D. Use Cloud Build to run the tests. Trigger all tests to run after a pull request is merged.

Answer: C

Explanation:
Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure. Cloud Build can import source code from Google Cloud Storage, Cloud Source Repositories, GitHub, or Bitbucket, execute a build to your specifications, and produce artifacts such as Docker containers or Java archives1. Cloud Build can also run integration tests as part of your build steps2.
You can use Cloud Build to run tests in a specific folder by specifying the path to the folder in the dir field of your build step3. For example, if you have a folder named tests that contains your integration tests, you can use the following build step to run them:
steps:
- name: 'gcr.io/cloud-builders/go'
args: ['test', '-v']
dir: 'tests'
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You can use Cloud Build to trigger builds for every GitHub pull request by using the Cloud Build GitHub app. The app allows you to automatically build on Git pushes and pull requests and view your build results on GitHub and Google Cloud console4. You can configure the app to run builds on specific branches, tags, or paths5. For example, if you want to run builds on pull requests that target the master branch, you can use the following trigger configuration:
includedFiles:
- '**'
name: 'pull-request-trigger'
github:
name: 'my-repo'
owner: 'my-org'
pullRequest:
branch: '

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