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

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

• Question 31:

  You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?

  A. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
  B. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Stackdriver Logging.
  C. Install Kubernetes on Google Compute Engine (GCE) and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.
  D. Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.
  B. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Stackdriver Logging.

• Question 32:

  Your company follows Site Reliability Engineering practices. You are the person in charge of Communications for a large, ongoing incident affecting your customer-facing applications. There is still no estimated time for a resolution of the outage. You are receiving emails from internal stakeholders who want updates on the outage, as well as emails from customers who want to know what is happening. You want to efficiently provide updates to everyone affected by the outage. What should you do?

  A. Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.
  B. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.
  C. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team. Focus on providing responses directly to customers.
  D. Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.
  B. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.

• Question 33:

  You need to build a CI/CD pipeline for a containerized application in Google Cloud. Your development team uses a central Git repository for trunk-based development. You want to run all your tests in the pipeline for any new versions of the application to improve the quality. What should you do?

  A. 1. Install a Git hook to require developers to run unit tests before pushing the code to a central repository. 2. Trigger Cloud Build to build the application container. Deploy the application container to a testing environment, and run integration tests. 3. If the integration tests are successful, deploy the application container to your production environment, and run acceptance tests.
  B. 1. Install a Git hook to require developers to run unit tests before pushing the code to a central repository. If all tests are successful, build a container. 2. Trigger Cloud Build to deploy the application container to a testing environment, and run integration tests and acceptance tests. 3. If all tests are successful, tag the code as production ready. Trigger Cloud Build to build and deploy the application container to the production environment.
  C. 1. Trigger Cloud Build to build the application container, and run unit tests with the container. 2. If unit tests are successful, deploy the application container to a testing environment, and run integration tests. 3. If the integration tests are successful, the pipeline deploys the application container to the production environment. After that, run acceptance tests.
  D. 1. Trigger Cloud Build to run unit tests when the code is pushed. If all unit tests are successful, build and push the application container to a central registry. 2. Trigger Cloud Build to deploy the container to a testing environment, and run integration tests and acceptance tests. 3. If all tests are successful, the pipeline deploys the application to the production environment and runs smoke tests
  D. 1. Trigger Cloud Build to run unit tests when the code is pushed. If all unit tests are successful, build and push the application container to a central registry. 2. Trigger Cloud Build to deploy the container to a testing environment, and run integration tests and acceptance tests. 3. If all tests are successful, the pipeline deploys the application to the production environment and runs smoke tests

• Question 34:

  You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub, and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock. You check the metrics for the microservice and compare them to typical levels:

  

  You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers. What should you do?

  A. Decrease the acknowledgment deadline on the subscription.
  B. Add a virtual queue to the online store that allows typical traffic levels.
  C. Increase the number of Pod replicas.
  D. Increase the Pod CPU and memory limits.
  C. Increase the number of Pod replicas.

• Question 35:

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

• Question 36:

  You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP/S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN), which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration, CDN failure, or other global networking catastrophe. Where should you measure this new SLI? (Choose two.)

  A. Your application servers' logs.
  B. Instrumentation coded directly in the client.
  C. Metrics exported from the application servers.
  D. GKE health checks for your application servers.
  E. A synthetic client that periodically sends simulated user requests.
  B. Instrumentation coded directly in the client.
  E. A synthetic client that periodically sends simulated user requests.

• Question 37:

  You are troubleshooting a failed deployment in your CI/CD pipeline. The deployment logs indicate that the application container failed to start due to a missing environment variable. You need to identify the root cause and implement a solution within your CI/CD workflow to prevent this issue from recurring. What should you do?

  A. Run integration tests in the CI pipeline.
  B. Implement static code analysis in the CI pipeline.
  C. Use a canary deployment strategy.
  D. Enable Cloud Audit Logs for the deployment.
  A. Run integration tests in the CI pipeline.

• Question 38:

  You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?

  A. Reroute the user traffic from the affected region to other regions that don't report issues.
  B. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
  C. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.
  D. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
  A. Reroute the user traffic from the affected region to other regions that don't report issues.

• Question 39:

  Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members. What should you do?

  A. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.
  B. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.
  C. Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
  D. Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.
  A. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.

• Question 40:

  You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

  A. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
  B. Configure Access Context Manager to allow only these members to export logs.
  C. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
  D. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
  A. Grant the team members the IAM role of logging.configWriter on Cloud IAM.