[Jan-2022] Google Professional-Cloud-DevOps-Engineer Actual Questions and Braindumps [Q42-Q62]

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[Jan-2022] Google Professional-Cloud-DevOps-Engineer Actual Questions and Braindumps

Pass Professional-Cloud-DevOps-Engineer Exam with Updated Professional-Cloud-DevOps-Engineer Exam Dumps PDF 2022

NEW QUESTION 42
You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?

  • A. Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
  • B. Confirm that the Stackdriver agent has been installed in the hosting virtual machine.
  • C. Confirm that your account has the proper permissions to use the Stackdriver dashboard.
  • D. Confirm that the application is using the required client library and the service account key has proper permissions.

Answer: C

 

NEW QUESTION 43
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. Purchase Committed Use Discounts.
  • B. Convert the instances to preemptible virtual machines.
  • C. Create an Unmanaged Instance Group for the instances used to run the workload.
  • D. Migrate the instances to a Managed Instance Group.

Answer: B

 

NEW QUESTION 44
You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

  • A. Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.
  • B. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
  • C. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
  • D. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.

Answer: B

Explanation:
https://sre.google/workbook/implementing-slos/
In the SRE principles book, it's recommended treating the SLI as the ratio of two numbers: the number of good events divided by the total number of events. For example: Number of successful HTTP requests / total HTTP requests (success rate)

 

NEW QUESTION 45
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. Your opinion of the incident's severity compared to past incidents
  • B. A list of action items to prevent a recurrence of the incident
  • C. A list of employees responsible for causing the incident
  • D. An explanation of the root cause of the incident
  • E. Copies of the design documents for all the services impacted by the incident

Answer: C,D

 

NEW QUESTION 46
You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?

  • A. In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.
  • B. Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.
  • C. Name each virtual machine (VM) after the system it runs. Set up a usage report export to a Cloud Storage bucket. Configure the bucket as a source in BigQuery to query costs based on VM name.
  • D. Enrich all instances with metadata specific to the system they run. Configure Stackdriver Logging to export to BigQuery, and query costs based on the metadata.

Answer: C

 

NEW QUESTION 47
Your development team has created a new version of their service's API. You need to deploy the new versions of the API with the least disruption to third-party developers and end users of third-party installed applications. What should you do?

  • A. Announce deprecation of the old version of the API.
    Contact remaining users on the old API.
    Introduce the new version of the API.
    Deprecate the old version of the API.
    Provide best effort support to users of the old API.
    Turn down the old version of the API.
  • B. Introduce the new version of the API.
    Contact remaining users of the old API.
    Announce deprecation of the old version of the API.
    Deprecate the old version of the API.
    Turn down the old version of the API.
    Provide best effort support to users of the old API.
  • C. Introduce the new version of the API.
    Announce deprecation of the old version of the API.
    Deprecate the old version of the API.
    Contact remaining users of the old API.
    Provide best effort support to users of the old API.
    Turn down the old version of the API.
  • D. Announce deprecation of the old version of the API.
    Introduce the new version of the API.
    Contact remaining users on the old API.
    Deprecate the old version of the API.
    Turn down the old version of the API.
    Provide best effort support to users of the old API.

Answer: D

 

NEW QUESTION 48
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 Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.
  • B. Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
  • C. Use Stackdriver Kubernetes Engine Monitoring.
  • D. Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.

Answer: D

 

NEW QUESTION 49
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. Monitor results of Stackdriver Trace to determine the required amount of resources.
  • B. Deploy the service in one region and use a global load balancer to route traffic to this region.
  • C. Validate that the resource requirements are within the available quota limits of each region.
  • D. Use the n1-highcpu-96 machine type in the configuration of the MIG.

Answer: D

 

NEW QUESTION 50
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. Create a Dataflow pipeline to analyze service metrics in real time.
  • B. Use a distributed tracing framework such as OpenTelemetry or Stackdriver Trace.
  • C. Investigate the Liveness and Readiness probes for each service.
  • D. Analyze VPC flow logs along the path of the request.

Answer: A

 

NEW QUESTION 51
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

  • A. flex/instance/connections/current
  • B. tcp_ssl_proxy/open_connections
  • C. tcp_ssl_proxy/new_connections
  • D. flex/connections/current

Answer: A

Explanation:
Explanation/Reference: https://cloud.google.com/monitoring/api/metrics_gcp

 

NEW QUESTION 52
Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?

  • A. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
  • B. Assign the Container Developer role to the Cloud Build service account.
  • C. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
  • D. Create a new service account with the Container Developer role and use it to run Cloud Build.

Answer: D

 

NEW QUESTION 53
Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?

  • A. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
  • B. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
  • C. Create a new service account with the Container Developer role and use it to run Cloud Build.
  • D. Assign the Container Developer role to the Cloud Build service account.

Answer: D

Explanation:
https://cloud.google.com/build/docs/deploying-builds/deploy-gke
https://cloud.google.com/build/docs/securing-builds/configure-user-specified-service-accounts

 

NEW QUESTION 54
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. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
  • B. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
  • C. Disable the CI pipeline and revert to manually building and pushing the artifacts.
  • D. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.

Answer: D

 

NEW QUESTION 55
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. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom 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. 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.

Answer: C

 

NEW QUESTION 56
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. Purchase Committed Use Discounts.
  • B. Convert the instances to preemptible virtual machines.
  • C. Create an Unmanaged Instance Group for the instances used to run the workload.
  • D. Migrate the instances to a Managed Instance Group.

Answer: C

 

NEW QUESTION 57
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

  • A. Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
  • B. Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.
  • C. Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.
  • D. Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.

Answer: A

Explanation:
"A Project can host many Projects and appear in many Projects, but it can only be used as the scoping project once. We recommend that you create a new Project for the purpose of having multiple Projects in the same scope."

 

NEW QUESTION 58
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. 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.
  • 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 Slackdriver Logging.
  • C. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
  • 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.

Answer: B

 

NEW QUESTION 59
You are part of an organization that follows SRE practices and principles. You are taking over the management of a new service from the Development Team, and you conduct a Production Readiness Review (PRR). After the PRR analysis phase, you determine that the service cannot currently meet its Service Level Objectives (SLOs). You want to ensure that the service can meet its SLOs in production. What should you do next?

  • A. Bring the service into production with no SLOs and build them when you have collected operational data.
  • B. Notify the development team that they will have to provide production support for the service.
  • C. djust the SLO targets to be achievable by the service so you can bring it into production.
  • D. Identify recommended reliability improvements to the service to be completed before handover.

Answer: D

 

NEW QUESTION 60
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging. What should you do?

  • A. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
  • B. Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
  • C. Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a tog exclusion with userinfo as a filter.
  • D. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.

Answer: D

Explanation:
https://medium.com/google-cloud/fluentd-filter-plugin-for-google-cloud-data-loss-prevention-api-42bbb1308e76

 

NEW QUESTION 61
You currently store the virtual machine (VM) utilization logs in Stackdriver. You need to provide an easy-to-share interactive VM utilization dashboard that is updated in real time and contains information aggregated on a quarterly basis. You want to use Google Cloud Platform solutions. What should you do?

  • A. 1. Export VM utilization logs from Stackdriver to a Cloud Storage bucket.
    2. Enable the Cloud Storage API to pull the logs programmatically.
    3. Build a custom data visualization application.
    4. Display the pulled logs in a custom dashboard.
  • B. 1. Export VM utilization logs (rom Stackdriver to BigQuery.
    2. From BigQuery. export the logs to a CSV file.
    3. Import the CSV file into Google Sheets.
    4. Build a dashboard in Google Sheets and share it with your stakeholders.
  • C. 1. Export VM utilization logs from Stackdriver to BigOuery.
    2. Create a dashboard in Data Studio.
    3. Share the dashboard with your stakeholders.
  • D. 1. Export VM utilization logs from Stackdriver to Cloud Pub/Sub.
    2. From Cloud Pub/Sub, send the logs to a Security Information and Event Management (SIEM) system.
    3. Build the dashboards in the SIEM system and share with your stakeholders.

Answer: C

 

NEW QUESTION 62
......


Audience for This Certification Exam

The target audience for the Google Professional Cloud DevOps Engineer test is formed of those individuals who want to learn how they can develop efficient operations and find a balance between the speed in delivering services and its reliability. Also, the candidates who are interested in taking this evaluation want to validate their skills in using the Google Cloud Platform at a professional level. Therefore, thanks to such an exam, applicants will learn how to develop pipelines related to software delivery, as well as become experts at monitoring and deploying services, together with managing and learning from them.

 

Latest Professional-Cloud-DevOps-Engineer Pass Guaranteed Exam Dumps with Accurate & Updated Questions: https://www.actual4labs.com/Google/Professional-Cloud-DevOps-Engineer-actual-exam-dumps.html

Professional-Cloud-DevOps-Engineer Exam Brain Dumps - Study Notes and Theory: https://drive.google.com/open?id=1bEXQoUpQk5PLCjhE_z4AU94HcAoueqJV

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