Google Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer

How to book Google Professional Cloud DevOps Engineer Exams

The registration for the Google Professional Cloud DevOps Engineer exam follows the steps given below.

• Step 1: Visit the Google Cloud Webassessor Website
• Step 2: Sign-in or sign up to your Google Cloud Webassessor account
• Step 3: Search for the exam name Google Professional Cloud DevOps Engineer
• Step 4: Take the date of the exam, choose the exam center, and make further payment using payment methods like credit/debit, etc.

After registering for the exam, prepare from the Professional Cloud DevOps Engineer exam dumps and make sure to take Professional Cloud DevOps Engineer practice exam so you know the exam format in advance. This will give you an advantage over other candidates.

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Exam Topics

To achieve good results in the Google Professional Cloud DevOps Engineer certification exam, the candidates need to develop a comprehensive understanding of its domains. The detailed outline of the topics and subtopics covered in the test is available on the official platform. Their brief overview is provided below:

• Management of Service Incidents

  To answer the questions related to this part of the certification test, the students need to have the skills in coordinating roles and implementing the channels of communication in the course of the service incident. In addition, they need to have an understanding of how to perform the analysis of incident symptoms affecting the users. The test takers should also know how to mitigate the impact of an incident on the users. Finally, they need to have the sufficient competency in resolving issues (for example, Cloud Build, Jenkins, etc.) and documenting an issue in the postmortem.

• Optimization of Service Performance

  Within this module, the learners need to show that they are capable of optimizing resource utilization, including determining resource costs, defining resource utilization levels, developing a plan to optimize areas of the lowest utilization/greatest cost, managing preemptible Virtual Machines, considering network pricing, and so on. They must also possess the skills in debugging application code as well as determining service performance issues.

• Application of Site Reliability Engineering Principles to Services

  This subject area measures the skills of the professionals in ensuring healthy collaboration for operations, including preventing burnout (for example, setting up automation procedures to prevent burnout) as well as fostering a learning culture & culture of blamelessness. Besides that, the candidates need to possess the expertise in managing the service life cycle as well as balancing the service change, velocity, and reliability.

• Building & Implementation of CI/CD Pipelines for Services

  The second topic focuses on the ability of the examinees to manage various development environments (for instance, staging, production, etc.), manage infrastructure as code, as well as manage configuration & secrets. Moreover, the test takers are required to demonstrate their proficiency in designing & implementing CI/CD pipelines, deploying CI/CD tooling, and securing the deployment pipeline.

• Implementation of Strategies for Service Monitoring

  Here the applicants will be asked to show that they have the capacity to manage the Stackdriver Logging and Stackdriver Monitoring platforms. They should also know how to manage application logs as well as application metrics using Stackdriver Monitoring. Additionally, the individuals will require the competency in implementing logging & monitoring access control.

Reference: https://cloud.google.com/certification/cloud-devops-engineer

Google Professional Cloud DevOps Engineer Certification Path

The Google Professional Cloud DevOps Engineer Certification is the highest level of certification mainly focusing on the Solution Architect Professional. There is no prerequisite for this exam but still, it would be best to follow some sequence to prove immense knowledge as a Google Professional Cloud DevOps Engineer.

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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:

Google Cloud Certified - Professional Cloud DevOps Engineer Sample Questions:

Question #1
You are troubleshooting a failed deployment in your CI/CD pipeline. The deployment logs indicate that the application container failed to start due to a missing environment variable. You need to identify the root cause and implement a solution within your CI/CD workflow to prevent this issue from recurring. What should you do?

A. Run integration tests in the CI pipeline.
B. Enable Cloud Audit Logs for the deployment.
C. Use a canary deployment strategy.
D. Implement static code analysis in the CI pipeline.

Question #2
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 using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.
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) with a service account JSON key stored as a Kubernetes Secret.
C. 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.
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 a key stored in Cloud Key Management Service (Cloud KMS).

Question #3
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. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.
B. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
C. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
D. Disable the CI pipeline and revert to manually building and pushing the artifacts.

Question #4
Some of your production services are running in Google Kubernetes Engine (GKE) in the eu-west-1 region.
Your build system runs in the us-west-1 region. You want to push the container images from your build system to a scalable registry to maximize the bandwidth for transferring the images to the cluster. What should you do?

A. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.
B. Push the images to a private image registry running on a Compute Engine instance in the eu-west-1 region.
C. Push the images to Google Container Registry (GCR) using the gcr.io hostname.
D. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.

Question #5
You need to enforce several constraint templates across your Google Kubernetes Engine (GKE) clusters. The constraints include policy parameters, such as restricting the Kubernetes API. You must ensure that the policy parameters are stored in a GitHub repository and automatically applied when changes occur. What should you do?

A. Configure Config Sync with the GitHub repository. When there is a change in the repository, use Config Sync to apply the change.
B. When there is a change in GitHub, use a webhook to send a request to Cloud Service Mesh, and apply the change.
C. Set up a GitHub action to trigger Cloud Build when there is a parameter change. In Cloud Build, run a gcloud CLI command to apply the change.
D. Configure Config Connector with the GitHub repository. When there is a change in the repository, use Config Connector to apply the change.

Solutions: