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Professional-Cloud-DevOps-Engineer Question and answers Include

Total Questions: 201 Q&A's
Single Choice: 184 Q&A's
Multiple Choice: 17 Q&A's

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Professional-Cloud-DevOps-Engineer Questions and Answers

Question # 1

You are building the Cl/CD pipeline for an application deployed to Google Kubernetes Engine (GKE) The application is deployed by using a Kubernetes Deployment, Service, and Ingress The application team asked you to deploy the application by using the blue'green deployment methodology You need to implement the rollback actions What should you do?

A.

Run the kubectl rollout undo command

B.

Delete the new container image, and delete the running Pods

C.

Update the Kubernetes Service to point to the previous Kubernetes Deployment

D.

Scale the new Kubernetes Deployment to zero

Question # 2

You are responsible for the reliability of a custom-built, distributed file storage service that your company uses internally. This service handles thousands of file uploads and downloads daily. You need to define a service level indicator (SLI) to measure the reliability of your service usage and configure alerts to be notified of potential issues. Which SLI should you use to measure the reliability of the service?

A.

Average request latency of API calls (e.g. get, put, list)

B.

Average size of objects stored in your service

C.

Ratio of successful API calls to the total number of attempted API calls

D.

Number of successful file uploads and downloads per minute

Question # 3

You are configuring your CI/CD pipeline natively on Google Cloud. You want builds in a pre-production Google Kubernetes Engine (GKE) environment to be automatically load-tested before being promoted to the production GKE environment. You need to ensure that only builds that have passed this test are deployed to production. You want to follow Google-recommended practices. How should you configure this pipeline with Binary Authorization?

A.

Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using a key stored in Cloud Key Management Service (Cloud KMS).

B.

Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.

C.

Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) with a service account JSON key stored as a Kubernetes Secret.

D.

Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using their personal private key.

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Google Professional-Cloud-DevOps-Engineer Exam Dumps FAQs

What is Google Professional-Cloud-DevOps-Engineer exam?

The Google Professional-Cloud-DevOps-Engineer exam is designed to assess your ability to develop operations that balance service reliability and delivery speed. It focuses on applying site reliability engineering principles to a given set of operations.

What is the format of Google Professional-Cloud-DevOps-Engineer exam?

The Google Professional-Cloud-DevOps-Engineer exam is delivered online and consists of multiple-choice and multiple-answer questions. You'll be given a specific timeframe to complete the exam.

What is the Google Professional-Cloud-DevOps-Engineer exam focused on?

The Google Professional-Cloud-DevOps-Engineer exam covers a comprehensive range of DevOps concepts and their application within GCP. Key areas include:

  • Bootstrapping a GCP organization for DevOps
  • Building and deploying CI/CD pipelines
  • Implementing SRE practices for service reliability
  • Designing service monitoring strategies
  • Optimizing service performance

What is the worth of taking the Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer exam?

Obtaining this certification demonstrates your proficiency in implementing DevOps practices using Google Cloud Platform. It enhances your career opportunities and earning potential in roles such as DevOps Engineer, Cloud Engineer, and Systems Architect.

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There are no mandatory prerequisites, but having hands-on experience with Google Cloud Platform and a solid understanding of DevOps practices is highly recommended.

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