NEW PROFESSIONAL-CLOUD-DEVOPS-ENGINEER PRACTICE QUESTIONS, NEW PROFESSIONAL-CLOUD-DEVOPS-ENGINEER PRACTICE MATERIALS

New Professional-Cloud-DevOps-Engineer Practice Questions, New Professional-Cloud-DevOps-Engineer Practice Materials

New Professional-Cloud-DevOps-Engineer Practice Questions, New Professional-Cloud-DevOps-Engineer Practice Materials

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Tags: New Professional-Cloud-DevOps-Engineer Practice Questions, New Professional-Cloud-DevOps-Engineer Practice Materials, Professional-Cloud-DevOps-Engineer Updated Testkings, Valid Braindumps Professional-Cloud-DevOps-Engineer Sheet, Study Professional-Cloud-DevOps-Engineer Material

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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam consists of multiple-choice questions, scenario-based questions, and hands-on tasks. Professional-Cloud-DevOps-Engineer exam duration is two hours, and the passing score is 70%. Professional-Cloud-DevOps-Engineer Exam Fee is $200 USD, and it is available in multiple languages, including English, Japanese, and Spanish. Candidates can take the exam online or at a test center.

>> New Professional-Cloud-DevOps-Engineer Practice Questions <<

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q107-Q112):

NEW QUESTION # 107
You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?

  • A. Eliminate unactionable alerts.
  • B. Distribute the alerts to engineers in different time zones.
  • C. Redefine the related Service Level Objective so that the error budget is not exhausted.
  • D. Create an incident report for each of the alerts.

Answer: A

Explanation:
Eliminate bad monitoring : Unactionable alerts (i.e., spam)https://cloud.google.com/blog/products
/management-tools/meeting-reliability-challenges-with-sre-principles
agree with kyubiblaze about having to remove unactionable items aka spam: "good monitoring alerts on actionable problems" @https://cloud.google.com/blog/products/management-tools/meeting-reliability- challenges-with-sre-principles


NEW QUESTION # 108
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. 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.
  • B. 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.
  • C. Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.
  • D. In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.

Answer: C

Explanation:
https://cloud.google.com/billing/docs/how-to/export-data-bigquery


NEW QUESTION # 109
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 an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.
  • B. 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.
  • C. Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.
  • D. Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.

Answer: B

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


NEW QUESTION # 110
You are ready to deploy a new feature of a web-based application to production. You want to use Google Kubernetes Engine (GKE) to perform a phased rollout to half of the web server pods.
What should you do?

  • A. Use a stateful set with parallel pod management policy.
  • B. Use Node taints with NoExecute.
  • C. Use a partitioned rolling update.
  • D. Use a replica set in the deployment specification.

Answer: C

Explanation:
Explanation
https://medium.com/velotio-perspectives/exploring-upgrade-strategies-for-stateful-sets-in-kubernetes-c02b8286f


NEW QUESTION # 111
You support a user-facing web application. When analyzing the application's error budget over the previous six months, you notice that the application has never consumed more than 5% of its error budget in any given time window. You hold a Service Level Objective (SLO) review with business stakeholders and confirm that the SLO is set appropriately. You want your application's SLO to more closely reflect its observed reliability.
What steps can you take to further that goal while balancing velocity, reliability, and business needs? (Choose two.)

  • A. Implement and measure additional Service Level Indicators (SLIs) fro the application.
  • B. Announce planned downtime to consume more error budget, and ensure that users are not depending on a tighter SLO.
  • C. Have more frequent or potentially risky application releases.
  • D. Tighten the SLO match the application's observed reliability.
  • E. Add more serving capacity to all of your application's zones.

Answer: A,B

Explanation:
Explanation
https://sre.google/sre-book/service-level-objectives/
You want the application's SLO to more closely reflect it's observed reliability. The key here is error budget never goes over 5%. This means they can have additional downtime and still stay within their budget.


NEW QUESTION # 112
......

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