Google PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Online Practice Questions and Exam Preparation

Google PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Online Questions & Answers

• Question 21:

  Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

  A. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.
  B. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.
  C. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.
  D. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.
  A. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.

• Question 22:

  Your company runs an ecommerce website built with JVM-based applications and microservice architecture in Google Kubernetes Engine (GKE). The application load increases during the day and decreases during the night. Your operations team has configured the application to run enough Pods to handle the evening peak load. You want to automate scaling by only running enough Pods and nodes for the load. What should you do?

  A. Configure the Vertical Pod Autoscaler, but keep the node pool size static.
  B. Configure the Vertical Pod Autoscaler, and enable the cluster autoscaler.
  C. Configure the Horizontal Pod Autoscaler, but keep the node pool size static.
  D. Configure the Horizontal Pod Autoscaler, and enable the cluster autoscaler.
  D. Configure the Horizontal Pod Autoscaler, and enable the cluster autoscaler.

• Question 23:

  You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

  A. Bucketize the request latencies into ranges, and then compute the percentile at 100 ms.
  B. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
  C. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
  D. Count the number of home page request that load in under 100 ms, and then divide by the total number of all web application request.
  C. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.

• Question 24:

  You are working with a government agency that requires you to archive application logs for seven years. You need to configure Stackdriver to export and store the logs while minimizing costs of storage. What should you do?

  A. Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.
  B. Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.
  C. Create an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.
  D. Create a sink in Stackdriver, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.
  D. Create a sink in Stackdriver, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.

• Question 25:

  You have an application that runs on Cloud Run. You want to use live production traffic to test a new version of the application, while you let the quality assurance team perform manual testing. You want to limit the potential impact of any issues while testing the new version, and you must be able to roll back to a previous version of the application if needed. How should you deploy the new version? (Choose two.)

  A. Deploy the application as a new Cloud Run service.
  B. Deploy a new Cloud Run revision with a tag and use the --no-traffic option.
  C. Deploy a new Cloud Run revision without a tag and use the --no-traffic option.
  D. Deploy the new application version and use the --no-traffic option. Route production traffic to the revision's URL.
  E. Deploy the new application version, and split traffic to the new version.
  C. Deploy a new Cloud Run revision without a tag and use the --no-traffic option.
  D. Deploy the new application version and use the --no-traffic option. Route production traffic to the revision's URL.

• Question 26:

  You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud. You must be able to:

  Reduce the complexity of release deployments and minimize the duration of deployment rollbacks.

  Test real production traffic with a gradual increase in the number of affected users.

  You want to select a deployment and testing strategy that meets your requirements. What should you do?

  A. Recreate deployment and canary testing
  B. Blue/green deployment and canary testing
  C. Rolling update deployment and A/B testing
  D. Rolling update deployment and shadow testing
  B. Blue/green deployment and canary testing

• Question 27:

  You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?

  A. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
  B. Inject the secret at the time of instance creation via an encrypted configuration management system.
  C. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application.
  D. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.
  A. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently

• Question 28:

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

• Question 29:

  Your company uses Jenkins running on Google Cloud VM instances for CI/CD. You need to extend the functionality to use infrastructure as code automation by using Terraform. You must ensure that the Terraform Jenkins instance is authorized to create Google Cloud resources. You want to follow Google-recommended practices. What should you do?

  A. Confirm that the Jenkins VM instance has an attached service account with the appropriate Identity and Access Management (IAM) permissions.
  B. Use the Terraform module so that Secret Manager can retrieve credentials.
  C. Create a dedicated service account for the Terraform instance. Download and copy the secret key value to the GOOGLE_CREDENTIALS environment variable on the Jenkins server.
  D. Add the gcloud auth application-default login command as a step in Jenkins before running the Terraform commands.
  A. Confirm that the Jenkins VM instance has an attached service account with the appropriate Identity and Access Management (IAM) permissions.

• Question 30:

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