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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified - Professional Cloud DevOps Engineer |
| Exam Number: | Professional-Cloud-DevOps-Engineer |
| Exam Price: | $200 USD |
| Exam Duration: | 120 minutes |
| Available Languages: | English, Spanish, Portuguese (Brazil), Japanese |
| Passing Score: | Not officially disclosed |
| Related Certifications: | Google Cloud Certified - Professional Cloud Security Engineer Google Cloud Certified - Professional Cloud Network Engineer Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer |
| Real Exam Qty: | Approximately 50–60 |
| Exam Format: | Multiple select, Multiple choice |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Coursera Google Cloud DevOps Engineering Courses Google Cloud Skills Boost - DevOps Engineer Path |
| Exam Registration: | Google Cloud Certification Portal Kryterion Webassessor Registration |
| Sample Questions: | Google Professional-Cloud-DevOps-Engineer Sample Questions |
| Exam Way: | Online proctored or test center (Kryterion/Webassessor) |
| Pre Condition: | No formal prerequisites. Recommended: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud. |
| Official Syllabus URL: | https://cloud.google.com/certification/cloud-devops-engineer |
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To prepare for the exam, candidates should have a solid understanding of cloud computing concepts and principles, as well as experience working with Google Cloud Platform services such as Compute Engine, Kubernetes Engine, Cloud Storage, and Cloud Pub/Sub. Additionally, candidates should have experience with DevOps methodologies and tools such as Git, Jenkins, and Ansible.
NEW QUESTION # 73
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?
Answer: C
Explanation:
https://cloud.google.com/architecture/continuous-delivery-toolchain-spinnaker-cloud
https://spinnaker.io/guides/user/pipeline/triggers/pubsub/
NEW QUESTION # 74
You are part of an organization that follows SRE practices and principles. You are taking over the management of a new service from the Development Team, and you conduct a Production Readiness Review (PRR). After the PRR analysis phase, you determine that the service cannot currently meet its Service Level Objectives (SLOs). You want to ensure that the service can meet its SLOs in production. What should you do next?
Answer: B
NEW QUESTION # 75
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to the production environment. A recent security audit alerted your team that the code pushed to production could contain vulnerabilities and that the existing tooling around virtual machine (VM) vulnerabilities no longer applies to the containerized environment. You need to ensure the security and patch level of all code running through the pipeline. What should you do?
Answer: D
Explanation:
Explanation
https://cloud.google.com/binary-authorization
Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run. With Binary Authorization, you can require images to be signed by trusted authorities during the development process and then enforce signature validation when deploying. By enforcing validation, you can gain tighter control over your container environment by ensuring only verified images are integrated into the build-and-release process.
NEW QUESTION # 76
Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?
Answer: B
NEW QUESTION # 77
You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to
* Reduce the complexity of release deployments and minimize the duration of deployment rollbacks
* Test real production traffic with a gradual increase in the number of affected users You want to select a deployment and testing strategy that meets your requirements What should you do?
Answer: D
Explanation:
Explanation
The best option for selecting a deployment and testing strategy that meets your requirements is to use blue/green deployment and canary testing. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can reduce the complexity of release deployments and minimize the duration of deployment rollbacks. A canary testing is a testing strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test real production traffic with a gradual increase in the number of affected users.
NEW QUESTION # 78
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