HOT PROFESSIONAL-CLOUD-DEVOPS-ENGINEER STUDY MATERIALS REVIEW | HIGH-QUALITY PROFESSIONAL-CLOUD-DEVOPS-ENGINEER VALID EXAM SYLLABUS: GOOGLE CLOUD CERTIFIED - PROFESSIONAL CLOUD DEVOPS ENGINEER EXAM

Hot Professional-Cloud-DevOps-Engineer Study Materials Review | High-quality Professional-Cloud-DevOps-Engineer Valid Exam Syllabus: Google Cloud Certified - Professional Cloud DevOps Engineer Exam

Hot Professional-Cloud-DevOps-Engineer Study Materials Review | High-quality Professional-Cloud-DevOps-Engineer Valid Exam Syllabus: Google Cloud Certified - Professional Cloud DevOps Engineer Exam

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Google Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer) Certification Exam is a valuable certification for cloud DevOps engineers who want to validate their skills and knowledge in designing, developing, and implementing cloud solutions using GCP services and tools. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is challenging and requires candidates to have a good understanding of cloud computing, software development, and DevOps practices. Passing the certification exam can enhance the candidate's career prospects and demonstrate their expertise in cloud DevOps engineering.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?

  • A. MTTD:5
    MTTR: 20
    MTBF: 90
    Impact: 50%
  • B. MTTD:5
    MTTR: 10
    MTBF: 90
    Impact 50%
  • C. MTTD: 5
    MTTR: 10
    MTBF: 90
    Impact: 33%
  • D. MTTD:5
    MTTR: 20
    MTBF: 90
    Impact: 33%

Answer: C


NEW QUESTION # 13
You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

  • A. Compare the canary with a new deployment of the current production version.
  • B. Compare the canary with the average performance of a sliding window of previous production versions.
  • C. Compare the canary with the existing deployment of the current production version.
  • D. Compare the canary with a new deployment of the previous production version.

Answer: A


NEW QUESTION # 14
You are the Site Reliability Engineer responsible for managing your company's data services and products.
You regularly navigate operational challenges, such as unpredictable data volume and high cost, with your company's data ingestion processes. You recently learned that a new data ingestion product will be developed in Google Cloud. You need to collaborate with the product development team to provide operational input on the new product. What should you do?

  • A. When the new product is used by at least one internal customer in production, share error logs and monitoring metrics with the product development team.
  • B. Review the design of the product with the product development team to provide feedback early in the design phase.
  • C. Deploy the prototype product in a test environment, run a load test, and share the results with the product development team.
  • D. When the initial product version passes the quality assurance phase and compliance assessments, deploy the product to a staging environment. Share error logs and performance metrics with the product development team.

Answer: B

Explanation:
Explanation
The correct answer is D. Review the design of the product with the product development team to provide feedback early in the design phase.
According to the Google Cloud DevOps best practices, a Site Reliability Engineer (SRE) should collaborate with the product development team from the beginning of the product lifecycle, not just after the product is deployed or tested. This way, the SRE can provide operational input on the product design, such as scalability, reliability, security, and cost efficiency. The SRE can also help define service level objectives (SLOs) and service level indicators (SLIs) for the product, as well as monitoring and alerting strategies. By collaborating early and often, the SRE and the product development team can ensure that the product meets the operational requirements and expectations of the customers.


NEW QUESTION # 15
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. Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team
  • C. Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team
  • D. Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard

Answer: D

Explanation:
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 # 16
Your application artifacts are being built and deployed via a CI/CD pipeline. You want the CI/CD pipeline to securely access application secrets. You also want to more easily rotate secrets in case of a security breach. What should you do?

  • A. Encrypt the secrets and store them in the source code repository. Store a decryption key in a separate repository and grant your pipeline access to it
  • B. Prompt developers for secrets at build time. Instruct developers to not store secrets at rest.
  • C. Store secrets in Cloud Storage encrypted with a key from Cloud KMS. Provide the CI/CD pipeline with access to Cloud KMS via IAM.
  • D. Store secrets in a separate configuration file on Git. Provide select developers with access to the configuration file.

Answer: C


NEW QUESTION # 17
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