Achive your Success with Latest Google Professional-Cloud-DevOps-Engineer Exam [Apr 18, 2024]
The Professional-Cloud-DevOps-Engineer Exam Test For Brief Preparation
Google Professional-Cloud-DevOps-Engineer certification exam is designed for professionals who want to demonstrate their expertise in the Google Cloud Platform (GCP) and DevOps practices. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam focuses on testing the candidate's ability to design, develop, and manage GCP solutions using DevOps principles. Professional-Cloud-DevOps-Engineer exam is intended for professionals who have experience in developing and managing applications on GCP and have a good understanding of DevOps practices and principles.
NEW QUESTION # 20
You use a multiple step Cloud Build pipeline to build and deploy your application to Google Kubernetes Engine (GKE). You want to integrate with a third-party monitoring platform by performing a HTTP POST of the build information to a webhook. You want to minimize the development effort. What should you do?
- A. Create a Cloud Pub/Sub push subscription to the Cloud Build cloud-builds PubSub topic to HTTP POST the build information to a webhook.
- B. Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.
- C. Use Stackdriver Logging to create a logs-based metric from the Cloud Buitd logs. Create an Alert with a Webhook notification type.
- D. Add logic to each Cloud Build step to HTTP POST the build information to a webhook.
Answer: B
NEW QUESTION # 21
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. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
- B. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
- C. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
- D. Configure Access Context Manager to allow only these members to export logs.
Answer: B
Explanation:
https://cloud.google.com/logging/docs/access-control
NEW QUESTION # 22
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?
- A. Create an Unmanaged Instance Group for the instances used to run the workload.
- B. Convert the instances to preemptible virtual machines.
- C. Migrate the instances to a Managed Instance Group.
- D. Purchase Committed Use Discounts.
Answer: D
NEW QUESTION # 23
You are configuring the frontend tier of an application deployed in Google Cloud The frontend tier is hosted in ngmx and deployed using a managed instance group with an Envoy-based external HTTP(S) load balancer in front The application is deployed entirely within the europe-west2 region: and only serves users based in the United Kingdom. You need to choose the most cost-effective network tier and load balancing configuration What should you use?
- A. Standard Tier with a global load balancer
- B. Premium Tier with a global load balancer
- C. Standard Tier with a regional load balancer
- D. Premium Tier with a regional load balancer
Answer: D
Explanation:
The most cost-effective network tier and load balancing configuration for your frontend tier is to use Premium Tier with a regional load balancer. Premium Tier is a network tier that provides high-performance and low-latency network connectivity across Google's global network. A regional load balancer is a load balancer that distributes traffic within a single region. Since your application is deployed entirely within the europe-west2 region and only serves users based in the United Kingdom, you can use Premium Tier with a regional load balancer to optimize the network performance and cost.
NEW QUESTION # 24
Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring. What should you do?
- A. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
- B. Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.
- C. Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.
- D. Publish various melrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
Answer: D
NEW QUESTION # 25
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 Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
- C. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different 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.
Answer: A
Explanation:
https://www.terraform.io/docs/cloud/guides/recommended-practices/part3.3.html
NEW QUESTION # 26
You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster.
The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?
- A. Configure your Kubernetes duster as a Private Cluster.
- B. Configure your network services on the Standard Tier.
- C. Configure the VPC as a Shared VPC Host project.
- D. Configure a Google Cloud HTTP Load Balancer as Ingress.
Answer: B
Explanation:
Explanation
The Standard Tier network service offers lower network costs than the Premium Tier. This is the correct option to reduce the network cost for the application3.
NEW QUESTION # 27
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. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.
- C. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
- D. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
Answer: A
Explanation:
Google always aims to first stop the impact of an incident, and then find the root cause (unless the root cause just happens to be identified early on).
NEW QUESTION # 28
You want to share a Cloud Monitoring custom dashboard with a partner team What should you do?
- A. Download the JSON definition of the dashboard, and send the JSON file to the partner team
- B. Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard
- C. Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team
- D. Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team
Answer: B
Explanation:
The best option for sharing a Cloud Monitoring custom dashboard with a partner team is to provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard. A Cloud Monitoring custom dashboard is a dashboard that allows you to create and customize charts and widgets to display metrics, logs, and traces from your Google Cloud resources and applications. You can share a custom dashboard with a partner team by providing them with the dashboard URL, which is a link that allows them to view the dashboard in their browser. The partner team can then create a copy of the dashboard in their own project by using the Copy Dashboard option. This way, they can access and modify the dashboard without affecting the original one.
NEW QUESTION # 29
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. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team.
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.
- C. Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.
- D. Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.
Answer: A
NEW QUESTION # 30
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. Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.
- B. Negotiate with the development team to reduce the release frequency to no more than once a week.
- C. Develop an appropriate error budget policy in cooperation with all service stakeholders.
- D. Negotiate with the product team to always prioritize service reliability over releasing new features.
Answer: D
NEW QUESTION # 31
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. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
- B. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
- C. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
- D. Configure Access Context Manager to allow only these members to export logs.
Answer: B
Explanation:
https://cloud.google.com/logging/docs/access-control
The logging.configWriter role grants permissions to create, update, and delete log exports. This is the correct role to give team members who need to export logs2.
NEW QUESTION # 32
You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully built by your trusted CI/CD pipeline are deployed to production. What should you do?
- A. Set up the Kubernetes Engine clusters with Binary Authorization.
- B. Set up the Kubernetes Engine clusters as private clusters.
- C. Enable Cloud Security Scanner on the clusters.
- D. Enable Vulnerability Analysis on the Container Registry.
Answer: A
Explanation:
https://cloud.google.com/binary-authorization/docs/overview
NEW QUESTION # 33
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.
Answer: D
NEW QUESTION # 34
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to the production environment. A recent security audit alerted your team that the code pushed to production could contain vulnerabilities and that the existing tooling around virtual machine (VM) vulnerabilities no longer applies to the containerized environment. You need to ensure the security and patch level of all code running through the pipeline. What should you do?
- A. Configure the containers in the build pipeline to always update themselves before release.
- B. Reconfigure the existing operating system vulnerability software to exist inside the container.
- C. Implement static code analysis tooling against the Docker files used to create the containers.
- D. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.
Answer: C
Explanation:
https://cloud.google.com/binary-authorization
Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run. With Binary Authorization, you can require images to be signed by trusted authorities during the development process and then enforce signature validation when deploying. By enforcing validation, you can gain tighter control over your container environment by ensuring only verified images are integrated into the build-and-release process.
NEW QUESTION # 35
Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?
- A. Reference the image digest in the source control tag.
- B. Supply the source control tag as a parameter within the image name.
- C. Use GCR digest versioning to match the image to the tag in source control.
- D. Use Cloud Build to include the release version tag in the application image.
Answer: B
NEW QUESTION # 36
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 Kubernetes on-premises
- B. Implement Jenkins on local workstations.
- C. Implement Jenkins on Google Cloud Functions.
- D. Implement Jenkins on Compute Engine virtual machines.
Answer: D
Explanation:
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?
https://plugins.jenkins.io/google-compute-engine/
NEW QUESTION # 37
You are designing a deployment technique for your applications on Google Cloud. As part Of your deployment planning, you want to use live traffic to gather performance metrics for new versions Of your applications. You need to test against the full production load before your applications are launched. What should you do?
- A. Use canary testing with continuous deployment.
- B. Use shadow testing with continuous deployment.
- C. Use canary testing with rolling updates deployment,
- D. Use A/B testing with blue/green deployment.
Answer: B
Explanation:
The correct answer is B, Use shadow testing with continuous deployment.
Shadow testing is a deployment technique that involves routing a copy of the live traffic to a new version of the application, without affecting the production environment. This way, you can gather performance metrics and compare them with the current version, without exposing the new version to the users. Shadow testing can help you test against the full production load and identify any issues or bottlenecks before launching the new version. You can use continuous deployment to automate the process of deploying the new version after it passes the shadow testing.
Reference:
Application deployment and testing strategies, Testing strategies, Shadow test pattern.
NEW QUESTION # 38
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 2 answers
- A. Metrics exported from the application servers
- B. A synthetic client that periodically sends simulated user requests
- C. Instrumentation coded directly in the client
- D. Your application servers' logs
- E. GKE health checks for your application servers
Answer: B,C
NEW QUESTION # 39
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. Develop a post-mortem to be distributed to stakeholders.
- B. Call individual stakeholders lo explain what happened.
- C. Require the engineer responsible to write an apology email to all stakeholders.
- D. Send the Incident State Document to all the stakeholders.
Answer: B
NEW QUESTION # 40
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Google Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer) Certification Exam is designed to test the technical skills and knowledge of professionals who work with Google Cloud Platform (GCP) and are responsible for designing, building, and managing highly scalable, highly available, and highly reliable cloud-native applications using DevOps principles and practices. Professional-Cloud-DevOps-Engineer exam measures the candidate's ability to manage and automate workflows, deploy applications, monitor and optimize application performance, and implement security measures using GCP tools and services.
Google Professional-Cloud-DevOps-Engineer exam is a certification program designed to validate the skills and knowledge of professionals who are working in the field of cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification program is offered by Google Cloud and it is specifically designed for individuals who are interested in developing and deploying applications on the Google Cloud Platform (GCP).
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