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

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

• Question 181:

  You are implementing a CI/CD pipeline for your application in your company's multi-cloud environment. Your application is deployed by using custom Compute Engine images and the equivalent in other cloud providers. You need to implement a solution that will enable you to build and deploy the images to your current environment and is adaptable to future changes. Which solution stack should you use?

  A. Cloud Build with Packer
  B. Cloud Build with Google Cloud Deploy
  C. Google Kubernetes Engine with Google Cloud Deploy
  D. Cloud Build with kpt
  A. Cloud Build with Packer

• Question 182:

  You need to deploy a new service to production. The service needs to automatically scale using a managed instance group and should be deployed across multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

  A. Monitor results of Cloud Trace to determine the optimal sizing.
  B. Use the n2-highcpu-96 machine type in the configuration of the managed instance group.
  C. Deploy the service in multiple regions and use an internal load balancer to route traffic.
  D. Validate that the resource requirements are within the available project quota limits of each region.
  D. Validate that the resource requirements are within the available project quota limits of each region.

• Question 183:

  Your company has a Google Cloud resource hierarchy with folders for production, test, and development. Your cyber security team needs to review your company's Google Cloud security posture to accelerate security issue identification and resolution. You need to centralize the logs generated by Google Cloud services from all projects only inside your production folder to allow for alerting and near-real time analysis. What should you do?

  A. Enable the Workflows API and route all the logs to Cloud Logging.
  B. Create a central Cloud Monitoring workspace and attach all related projects.
  C. Create an aggregated log sink associated with the production folder that uses a Pub/Sub topic as the destination.
  D. Create an aggregated log sink associated with the production folder that uses a Cloud Logging bucket as the destination.
  C. Create an aggregated log sink associated with the production folder that uses a Pub/Sub topic as the destination.

• Question 184:

  You deployed an application into a large Standard Google Kubernetes Engine (GKE) cluster. The application is stateless and multiple pods run at the same time. Your application receives inconsistent traffic. You need to ensure that the user experience remains consistent regardless of changes in traffic and that the resource usage of the cluster is optimized.

  What should you do?

  A. Configure a cron job to scale the deployment on a schedule
  B. Configure a Horizontal Pod Autoscaler.
  C. Configure a Vertical Pod Autoscaler
  D. Configure cluster autoscaling on the node pool.
  B. Configure a Horizontal Pod Autoscaler.

• Question 185:

  As part of your company's initiative to shift left on security, the InfoSec team is asking all teams to implement guard rails on all the Google Kubernetes Engine (GKE) clusters to only allow the deployment of trusted and approved images. You need to determine how to satisfy the InfoSec team's goal of shifting left on security. What should you do?

  A. Enable Container Analysis in Artifact Registry, and check for common vulnerabilities and exposures (CVEs) in your container images
  B. Use Binary Authorization to attest images during your CI/CD pipeline
  C. Configure Identity and Access Management (IAM) policies to create a least privilege model on your GKE clusters.
  D. Deploy Falco or Twistlock on GKE to monitor for vulnerabilities on your running Pods
  B. Use Binary Authorization to attest images during your CI/CD pipeline

• Question 186:

  Your team is writing a postmortem after an incident on your external facing application. Your team wants to improve the postmortem policy to include triggers that indicate whether an incident requires a postmortem. Based on Site Reliability Engineering (SRE) practices, what triggers should be defined in the postmortem policy? (Choose two.)

  A. An external stakeholder asks for a postmortem
  B. Data is lost due to an incident.
  C. An internal stakeholder requests a postmortem.
  D. The monitoring system detects that one of the instances for your application has failed.
  E. The CD pipeline detects an issue and rolls back a problematic release.
  A. An external stakeholder asks for a postmortem
  B. Data is lost due to an incident.

• Question 187:

  You use Terraform to manage an application deployed to a Google Cloud environment. The application runs on instances deployed by a managed instance group. The Terraform code is deployed by using a CI/CD pipeline. When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message:

  

  You need to update the instance template and minimize disruption to the application and the number of pipeline runs. What should you do?

  A. Delete the managed instance group, and recreate it after updating the instance template.
  B. Add a new instance template, update the managed instance group to use the new instance template, and delete the old instance template.
  C. Remove the managed instance group from the Terraform state file, update the instance template, and reimport the managed instance group.
  D. Set the create_before_destroy meta-argument to true in the lifecycle block on the instance template.
  B. Add a new instance template, update the managed instance group to use the new instance template, and delete the old instance template.

• Question 188:

  Your company runs applications in Google Kubernetes Engine (GKE). Several applications rely on ephemeral volumes. You noticed some applications were unstable due to the DiskPressure node condition on the worker nodes. You need to identify which Pods are causing the issue, but you do not have execute access to workloads and nodes. What should you do?

  A. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
  B. Check the container/ephemeral_storage/used_bytes metric by using Metrics Explorer.
  C. Locate all the Pods with emptyDir volumes. Use the df -h command to measure volume disk usage.
  D. Locate all the Pods with emptyDir volumes. Use the df -sh * command to measure volume disk usage.
  C. Locate all the Pods with emptyDir volumes. Use the df -h command to measure volume disk usage.

• Question 189:

  You encountered a major service outage that affected all users of the service for multiple hours. After several hours of incident management, the service returned to normal, and user access was restored. You need to provide an incident summary to relevant stakeholders following the Site Reliability Engineering recommended practices. What should you do first?

  A. Call individual stakeholders to explain what happened.
  B. Develop a post-mortem to be distributed to stakeholders.
  C. Send the Incident State Document to all the stakeholders.
  D. Require the engineer responsible to write an apology email to all stakeholders.
  B. Develop a post-mortem to be distributed to stakeholders.

• Question 190:

  You support an application that stores product information in cached memory. For every cache miss, an entry is logged in Stackdriver Logging. You want to visualize how often a cache miss happens over time. What should you do?

  A. Link Stackdriver Logging as a source in Google Data Studio. Filter the logs on the cache misses.
  B. Configure Stackdriver Profiler to identify and visualize when the cache misses occur based on the logs.
  C. Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.
  D. Configure BigQuery as a sink for Stackdriver Logging. Create a scheduled query to filter the cache miss logs and write them to a separate table.
  C. Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.