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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified - Professional Cloud DevOps Engineer Exam |
| Exam Number: | Professional-Cloud-DevOps-Engineer |
| Available Languages: | English, Japanese |
| Real Exam Qty: | 50-60 |
| Passing Score: | Not publicly disclosed |
| Related Certifications: | Professional Cloud Security Engineer Professional Cloud Architect Professional Cloud Network Engineer Professional Cloud Developer |
| Exam Duration: | 120 minutes |
| Exam Price: | $200 (plus tax where applicable) |
| Exam Format: | Multiple choice, Multiple select |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Professional Cloud DevOps Engineer Learning Path Exam Guide |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Cloud-DevOps-Engineer Sample Questions |
| Exam Way: | Online proctored (remote) or onsite proctored (testing center) |
| Pre Condition: | No mandatory prerequisites; recommended: 3+ years industry experience, 1+ year managing production systems on Google Cloud |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-devops-engineer |
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Google Cloud Certified - Professional Cloud DevOps Engineer Exam is designed to assess the knowledge and skills of individuals who want to become a certified professional in the field of DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is specifically created to evaluate an individual's ability to deploy, manage, and monitor cloud solutions using Google Cloud Platform technology.
Earning the Google Professional-Cloud-DevOps-Engineer certification demonstrates that the candidate has the skills and knowledge required to design and manage efficient cloud-based systems using Google Cloud technologies. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is recognized globally and is highly valued by employers who are looking for professionals with expertise in DevOps and cloud-based systems management. It also provides the candidate with an opportunity to enhance their career prospects and expand their professional network in the cloud computing industry.
The Google Professional-Cloud-DevOps-Engineer Exam consists of multiple-choice and scenario-based questions, and candidates have three hours to complete it. The passing score for the exam is 70%, and the certification is valid for two years. To maintain the certification, professionals must pass a recertification exam or earn a higher-level certification.
NEW QUESTION # 64
You are designing a system with three different environments: development, quality assurance (QA), and production.
Each environment will be deployed with Terraform and has a Google Kubemetes Engine (GKE) cluster created so that application teams can deploy their applications. Anthos Config Management will be used and templated to deploy infrastructure level resources in each GKE cluster. All users (for example, infrastructure operators and application owners) will use GitOps. How should you structure your source control repositories for both Infrastructure as Code (laC) and application code?
Answer: A
Explanation:
Explanation
The correct answer is B. Cloud Infrastructure (Terraform) repository is shared: different directories are different environments. GKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated: different branches are different environments. Application (app source code) repositories are separated: different branches are different features.
This answer follows the best practices for using Terraform and Anthos Config Management with GitOps, as described in the following sources:
For Terraform, it is recommended to use a single repository for all environments, and use directories to separate them. This way, you can reuse the same Terraform modules and configurations across environments, and avoid code duplication and drift. You can also use Terraform workspaces to isolate the state files for each environment12.
For Anthos Config Management, it is recommended to use separate repositories for each environment, and use branches to separate the clusters within each environment. This way, you can enforce different policies and configurations for each environment, and use pull requests to promote changes across environments. You can also use Kustomize to create overlays for each cluster that apply specific patches or customizations34.
For application code, it is recommended to use separate repositories for each application, and use branches to separate the features or bug fixes for each application. This way, you can isolate the development and testing of each application, and use pull requests to merge changes into the main branch. You can also use tags or labels to trigger deployments to different environments5 .
References:
1: Best practices for using Terraform | Google Cloud
2: Terraform Recommended Practices - Part 1 | Terraform - HashiCorp Learn
3: Deploy Anthos on GKE with Terraform part 1: GitOps with Config Sync | Google Cloud Blog
4: Using Kustomize with Anthos Config Management | Anthos Config Management Documentation | Google Cloud
5: Deploy Anthos on GKE with Terraform part 3: Continuous Delivery with Cloud Build | Google Cloud Blog GitOps-style continuous delivery with Cloud Build | Cloud Build Documentation | Google Cloud
NEW QUESTION # 65
You recently configured an App Hub application. You are able to see the managed instance group, backend service, and URL map listed in App Hub, but you do not see the forwarding rule. You must ensure that the forwarding rule is listed. What should you do?
Answer: D
NEW QUESTION # 66
You work for a company that manages highly sensitive user data. You are designing the Google Kubernetes Engine (GKE) infrastructure for your company, including several applications that will be deployed in development and production environments. Your design must protect data from unauthorized access from other applications while minimizing the amount of management overhead required. What should you do?
Answer: D
Explanation:
Comprehensive and Detailed Explanation:
For highly sensitive user data, you need to isolate applications while minimizing management overhead. The best practice is:
One GKE cluster per environment (Development and Production) # This provides a clear separation of concerns and avoids security risks from running different environments in the same cluster.
Each application in its own namespace # Namespaces provide logical isolation for different applications within the same cluster, reducing unauthorized access risks.
#Why not other options?
A (Single cluster for org with multiple namespaces for apps & envs)## Bad security practice because mixing production and development in the same cluster increases the risk of privilege escalation.
C (Single cluster for org with namespaces per app)## Still mixes development and production in the same cluster, violating isolation requirements for sensitive data.
D (One cluster per app)## High operational overhead; unnecessary complexity for small to medium-scale deployments.
#Official Reference:
GKE Multi-Tenancy Best Practices
GKE Security Hardening
NEW QUESTION # 67
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers
Answer: C,D
NEW QUESTION # 68
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months. The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?
Answer: D
NEW QUESTION # 69
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