[2023] Pass Professional-Cloud-DevOps-Engineer Exam - Real Questions and Answers

Professional-Cloud-DevOps-Engineer Exam Questions Get Updated [2023] with Correct Answers

Google Professional-Cloud-DevOps-Engineer certification exam is a professional-level certification offered by Google Cloud. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is designed to validate the skills and expertise of professionals who are responsible for designing, implementing, and managing DevOps practices and processes on the Google Cloud Platform.

NEW QUESTION # 11
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. Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.
• B. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team. Focus on providing responses directly to customers.
• C. Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.
• D. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.

Answer: B

NEW QUESTION # 12
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need measure application reliability from a user perspective without making any engineering changes to it. What should you do? (Choose two.)

• A. Analyze the web proxy logs only and capture response time of each request.
• B. Use current and historic Request Logs to trace customer interaction with the application.
• C. Modify the code to capture additional information for user interaction.
• D. Create new synthetic clients to simulate a user journey using the application.
• E. Review current application metrics and add new ones as needed.

Answer: C,D

NEW 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 a private image registry running on a Compute Engine instance in the eu-west-1 region.
• B. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.
• C. Push the images to Google Container Registry (GCR) using the gcr.io hostname.
• D. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.

Answer: B

Explanation:
Hostname Storage location gcr.io Stores images in data centers in the United States asia.gcr.io Stores images in data centers in Asia eu.gcr.io Stores images in data centers within member states of the European Union us.gcr.io Stores images in data centers in the United States

NEW QUESTION # 14
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. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.
• B. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
• C. Disable the CI pipeline and revert to manually building and pushing the artifacts.
• D. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.

Answer: B

Explanation:
"After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline"- means something wrong on the recent change not with the image registry.

NEW QUESTION # 15
You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over 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. Validate that the resource requirements are within the available quota limits of each region.
• B. Deploy the service in one region and use a global load balancer to route traffic to this region.
• C. Use the n1-highcpu-96 machine type in the configuration of the MIG.
• D. Monitor results of Stackdriver Trace to determine the required amount of resources.

Answer: B

NEW QUESTION # 16
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

• A. Use Cloud Build to trigger a Spinnaker pipeline.
• B. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).
• C. Use a custom builder in Cloud Build to trigger Jenkins pipeline.
• D. Use Cloud Pub/Sub to bigger a Spinnaker pipeline.

Answer: B

NEW QUESTION # 17
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 a Google Cloud HTTP Load Balancer as Ingress.
• B. Configure your Kubernetes duster as a Private Cluster.
• C. Configure your network services on the Standard Tier.
• D. Configure the VPC as a Shared VPC Host project.

Answer: B

NEW QUESTION # 18
You have an application running in Google Kubernetes Engine. The application invokes multiple services per request but responds too slowly. You need to identify which downstream service or services are causing the delay. What should you do?

• A. Use a distributed tracing framework such as OpenTelemetry or Stackdriver Trace.
• B. Analyze VPC flow logs along the path of the request.
• C. Create a Dataflow pipeline to analyze service metrics in real time.
• D. Investigate the Liveness and Readiness probes for each service.

Answer: C

NEW 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. Create an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.
• C. Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.
• 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.

Answer: D

Explanation:
https://cloud.google.com/logging/docs/routing/overview

NEW QUESTION # 20
Your company follows Site Reliability Engineering principles. You are writing a postmortem for an incident, triggered by a software change, that severely affected users. You want to prevent severe incidents from happening in the future. What should you do?

• A. Ensure that test cases that catch errors of this type are run successfully before new software releases.
• B. Design a policy that will require on-call teams to immediately call engineers and management to discuss a plan of action if an incident occurs.
• C. Follow up with the employees who reviewed the changes and prescribe practices they should follow in the future.
• D. Identify engineers responsible for the incident and escalate to their senior management.

Answer: A

NEW QUESTION # 21
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?
Choose 2 answers

• A. Use current and historic Request Logs to trace customer interaction with the application.
• B. Analyze the web proxy logs only and capture response time of each request.
• C. Modify the code to capture additional information for user interaction.
• D. Create new synthetic clients to simulate a user journey using the application.
• E. Review current application metrics and add new ones as needed.

Answer: B,C

NEW QUESTION # 22
You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)

• A. An explanation of the root cause of the incident
• B. A list of employees responsible for causing the incident
• C. Your opinion of the incident's severity compared to past incidents
• D. A list of action items to prevent a recurrence of the incident
• E. Copies of the design documents for all the services impacted by the incident

Answer: A,D

Explanation:
For a postmortem to be truly blameless, it must focus on identifying the contributing causes of the incident without indicting any individual or team for bad or inappropriate behavior.

NEW QUESTION # 23
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. 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.
• B. 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.
• C. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
• D. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.

Answer: D

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics#custom_metrics
https://github.com/GoogleCloudPlatform/k8s-stackdriver/blob/master/custom-metrics-stackdriver-adapter/README.md Your application can report a custom metric to Cloud Monitoring. You can configure Kubernetes to respond to these metrics and scale your workload automatically. For example, you can scale your application based on metrics such as queries per second, writes per second, network performance, latency when communicating with a different application, or other metrics that make sense for your workload. https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics

NEW QUESTION # 24
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. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
• B. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.
• C. Reroute the user traffic from the affected region to other regions that don't report issues.
• D. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.

Answer: D

NEW QUESTION # 25
You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

• A. In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.
  * In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.
• B. In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.
  * In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.
• C. In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.
  * In Stackdriver's Metrics Explorer, use a Slacked Bar graph to visualize the metric.
• D. In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.
  * In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.

Answer: A

NEW QUESTION # 26
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To be eligible for the Google Professional-Cloud-DevOps-Engineer certification exam, candidates should have at least three years of experience in software development, infrastructure management, and operations. They should also have a solid understanding of cloud technologies and DevOps practices, as well as experience in designing and implementing cloud-based solutions.

Google Professional-Cloud-DevOps-Engineer certification is highly valued in the industry and is recognized as a mark of excellence in the field of cloud-based DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is ideal for professionals who are looking to advance their careers in DevOps and cloud computing, and who are interested in working with Google Cloud technologies. By earning this certification, professionals can demonstrate their ability to design, implement, and manage DevOps workflows on Google Cloud, and can enhance their credibility with employers and clients alike.

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