PASS4SURE PROFESSIONAL-CLOUD-DEVOPS-ENGINEER DUMPS PDF & VALID PROFESSIONAL-CLOUD-DEVOPS-ENGINEER EXAM SYLLABUS

Pass4sure Professional-Cloud-DevOps-Engineer Dumps Pdf & Valid Professional-Cloud-DevOps-Engineer Exam Syllabus

Pass4sure Professional-Cloud-DevOps-Engineer Dumps Pdf & Valid Professional-Cloud-DevOps-Engineer Exam Syllabus

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To be eligible for the Professional-Cloud-DevOps-Engineer certification exam, candidates need to have at least three years of experience in cloud computing, software development, and DevOps practices. They also need to have a good understanding of GCP services and tools, including Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, Cloud Build, and Cloud Monitoring. Candidates are recommended to take the GCP Associate Cloud Engineer and GCP Professional Cloud Architect certification exams before attempting the Professional-Cloud-DevOps-Engineer certification exam.

Google Professional-Cloud-DevOps-Engineer Certification Exam is a highly coveted credential for professionals who want to demonstrate their expertise in cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is designed to test the candidate's knowledge and skills in various cloud-based DevOps tools and technologies, including infrastructure automation, continuous integration and delivery, monitoring and logging, and security and compliance.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q197-Q202):

NEW QUESTION # 197
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 toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.
    * In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.
  • B. * 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.
  • 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 to gauge and a valueType set to distribution.
    * In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.

Answer: D

Explanation:
Explanation
https://sre.google/workbook/implementing-slos/
https://cloud.google.com/architecture/adopting-slos/
Latency is commonly measured as a distribution. Given a distribution, you can measure various percentiles.
For example, you might measure the number of requests that are slower than the historical 99th percentile.


NEW QUESTION # 198
Your company's security team needs to have read-only access to Data Access audit logs in the _Required bucket You want to provide your security team with the necessary permissions following the principle of least privilege and Google-recommended practices. What should you do?

  • A. Assign the roles/logging.privateLogviewer role to a group with all the security team members
  • B. Assign the roles/logging.privateLogViewer role to each member of the security team
  • C. Assign the roles/logging, viewer role to each member of the security team
  • D. Assign the roles/logging. viewer role to a group with all the security team members

Answer: A

Explanation:
The best option for providing your security team with the necessary permissions following the principle of least privilege and Google-recommended practices is to assign the roles/logging.privateLogViewer role to a group with all the security team members. The roles/logging.privateLogViewer role is a predefined role that grants read-only access to Data Access audit logs and other private logs in Cloud Logging. A group is a collection of users that can be assigned roles and permissions as a single unit. You can assign the roles/logging.privateLogViewer role to a group with all the security team members by using IAM policies. This way, you can provide your security team with the minimum level of access they need to view Data Access audit logs in the _Required bucket.


NEW QUESTION # 199
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. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
  • C. Configure Access Context Manager to allow only these members to export logs.
  • D. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.

Answer: A

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 # 200
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?

  • A. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
  • B. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
  • C. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.
  • D. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.

Answer: D


NEW QUESTION # 201
You have an application that runs in Google Kubernetes Engine (GKE). The application consists of several microservices that are deployed to GKE by using Deployments and Services One of the microservices is experiencing an issue where a Pod returns 403 errors after the Pod has been running for more than five hours Your development team is working on a solution but the issue will not be resolved for a month You need to ensure continued operations until the microservice is fixed You want to follow Google-recommended practices and use the fewest number of steps What should you do?

  • A. Monitor the Pods and terminate any Pods that have been running for more than five hours
  • B. Add a HTTP liveness probe to the microservice s deployment
  • C. Configure an alert to notify you whenever a Pod returns 403 errors
  • D. Create a cron job to terminate any Pods that have been running for more than five hours

Answer: B

Explanation:
Explanation
The best option for ensuring continued operations until the microservice is fixed is to add a HTTP liveness probe to the microservice's deployment. A HTTP liveness probe is a type of probe that checks if a Pod is alive by sending an HTTP request and expecting a success response code. If the probe fails, Kubernetes will restart the Pod. You can add a HTTP liveness probe to your microservice's deployment by using a livenessProbe field in your Pod spec. This way, you can ensure that any Pod that returns 403 errors after running for more than five hours will be restarted automatically and resume normal operations.


NEW QUESTION # 202
......

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