Exam Details

  • Exam Code
    :PROFESSIONAL-CLOUD-DEVOPS-ENGINEER
  • Exam Name
    :Professional Cloud DevOps Engineer
  • Certification
    :Cloud DevOps Engineer
  • Vendor
    :Google
  • Total Questions
    :165 Q&As
  • Last Updated
    :May 08, 2024

Google Cloud DevOps Engineer PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Questions & Answers

  • Question 11:

    You use Cloud Build to build and deploy your application. You want to securely incorporate database credentials and other application secrets into the build pipeline. You also want to minimize the development effort. What should you do?

    A. Create a Cloud Storage bucket and use the built-in encryption at rest. Store the secrets in the bucket and grant Cloud Build access to the bucket.

    B. Encrypt the secrets and store them in the application repository. Store a decryption key in a separate repository and grant Cloud Build access to the repository.

    C. Use client-side encryption to encrypt the secrets and store them in a Cloud Storage bucket. Store a decryption key in the bucket and grant Cloud Build access to the bucket.

    D. Use Cloud Key Management Service (Cloud KMS) to encrypt the secrets and include them in your Cloud Build deployment configuration. Grant Cloud Build access to the KeyRing.

  • Question 12:

    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.

  • Question 13:

    Some of your production services are running in Google Kubernetes Engine (GKE) in the eu-west-1 region. Your build system runs in the us-west-1 region. You want to push the container images from your build system to a scalable registry to maximize the bandwidth for transferring the images to the cluster. What should you do?

    A. Push the images to Google Container Registry (GCR) using the gcr.io hostname.

    B. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.

    C. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.

    D. Push the images to a private image registry running on a Compute Engine instance in the eu-west-1 region.

  • Question 14:

    Your company is developing applications that are deployed on Google Kubernetes Engine (GKE). Each team manages a different application. You need to create the development and production environments for each team, while minimizing costs. Different teams should not be able to access other teams’ environments. What should you do?

    A. Create one GCP Project per team. In each project, create a cluster for Development and one for Production. Grant the teams IAM access to their respective clusters.

    B. Create one GCP Project per team. In each project, create a cluster with a Kubernetes namespace for Development and one for Production. Grant the teams IAM access to their respective clusters.

    C. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Identity Aware Proxy so that each team can only access its own namespace.

    D. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Kubernetes Role-based access control (RBAC) so that each team can only access its own namespace.

  • Question 15:

    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?

    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 16:

    You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application. Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the 90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

    A. 90th percentile – 100ms 95th percentile – 250ms

    B. 90th percentile – 120ms 95th percentile – 275ms

    C. 90th percentile – 150ms 95th percentile – 300ms

    D. 90th percentile – 250ms 95th percentile – 400ms

  • Question 17:

    You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

    A. Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.

    B. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.

    C. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.

    D. Use the Stackdriver Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.

  • Question 18:

    Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?

    A. Implement Jenkins on local workstations.

    B. Implement Jenkins on Kubernetes on-premises.

    C. Implement Jenkins on Google Cloud Functions.

    D. Implement Jenkins on Compute Engine virtual machines.

  • Question 19:

    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.

  • Question 20:

    You have migrated an e-commerce application to Google Cloud Platform (GCP). You want to prepare the application for the upcoming busy season. What should you do first to prepare for the busy season?

    A. Load teat the application to profile its performance for scaling.

    B. Enable AutoScaling on the production clusters, in case there is growth.

    C. Pre-provision double the compute power used last season, expecting growth.

    D. Create a runbook on inflating the disaster recovery (DR) environment if there is growth.

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