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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 |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Professional Cloud Network Engineer Google Cloud Certified - Professional Cloud Security Engineer Google Cloud Certified - Associate Cloud Engineer |
| Exam Format: | Multiple select, Multiple choice |
| Passing Score: | Not officially disclosed |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | Approximately 50–60 |
| Available Languages: | Spanish, Japanese, English, Portuguese (Brazil) |
| Recommended Training: | Google Cloud Skills Boost - DevOps Engineer Path Coursera Google Cloud DevOps Engineering Courses |
| Exam Registration: | Kryterion Webassessor Registration Google Cloud Certification Portal |
| 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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Google Professional-Cloud-DevOps-Engineer Certification Exam is an essential certification for professionals who want to validate their skills and expertise in Cloud DevOps engineering. It demonstrates to potential employers that the candidate has the necessary knowledge and experience to design, deploy, and manage applications on the Google Cloud platform. If you're a DevOps engineer looking to take your career to the next level, this certification is definitely worth considering.
The Professional-Cloud-DevOps-Engineer certification exam is one of the Google Cloud Certified exams, which are designed to validate an individual's skills and expertise in Google Cloud technologies. Professional-Cloud-DevOps-Engineer Exam covers a range of topics, including continuous integration and delivery, monitoring and logging, site reliability engineering, security and compliance, and much more.
The Professional-Cloud-DevOps-Engineer certification exam assesses a candidate's proficiency in various areas, including designing and implementing continuous delivery pipelines, configuring infrastructure automation, monitoring, and logging systems, and managing and deploying services using container technology. Professional-Cloud-DevOps-Engineer exam is intended for professionals who have experience in DevOps practices, software development, and system administration.
NEW QUESTION # 34
You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?
Answer: B
Explanation:
https://cloud.google.com/billing/docs/how-to/export-data-bigquery
NEW QUESTION # 35
You are managing an application that runs in Compute Engine The application uses a custom HTTP server to expose an API that is accessed by other applications through an internal TCP/UDP load balancer A firewall rule allows access to the API port from 0.0.0-0/0. You need to configure Cloud Logging to log each IP address that accesses the API by using the fewest number of steps What should you do Bret?
Answer: C
NEW QUESTION # 36
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve data. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?
Answer: B
Explanation:
Explanation
The most probable cause of the database timeout is an increased number of connections to the Cloud SQL instance. This could happen if the application does not close connections properly or if it creates too many connections at once. You can check the number of connections to the Cloud SQL instance using Cloud Monitoring or Cloud SQL Admin API .
NEW QUESTION # 37
Your uses Jenkins running on Google Cloud VM instances for CI/CD. You need to extend the functionality to use infrastructure as code automation by using Terraform. You must ensure that the Terraform Jenkins instance is authorized to create Google Cloud resources. You want to follow Google-recommended practices- What should you do?
Answer: A
Explanation:
The correct answer is C.
Confirming that the Jenkins VM instance has an attached service account with the appropriate Identity and Access Management (IAM) permissions is the best way to ensure that the Terraform Jenkins instance is authorized to create Google Cloud resources. This follows the Google-recommended practice of using service accounts to authenticate and authorize applications running on Google Cloud1. Service accounts are associated with private keys that can be used to generate access tokens for Google Cloud APIs2. By attaching a service account to the Jenkins VM instance, Terraform can use the Application Default Credentials (ADC) strategy to automatically find and use the service account credentials3.
Answer A is incorrect because the auth application-default command is used to obtain user credentials, not service account credentials. User credentials are not recommended for applications running on Google Cloud, as they are less secure and less scalable than service account credentials1.
Answer B is incorrect because it involves downloading and copying the secret key value of the service account, which is not a secure or reliable way of managing credentials. The secret key value should be kept private and not exposed to any other system or user2. Moreover, setting the GOOGLE environment variable on the Jenkins server is not a valid way of providing credentials to Terraform. Terraform expects the credentials to be either in a file pointed by the GOOGLE_APPLICATION_CREDENTIALS environment variable, or in a provider block with the credentials argument3.
Answer D is incorrect because it involves using the Terraform module for Secret Manager, which is a service that stores and manages sensitive data such as API keys, passwords, and certificates. While Secret Manager can be used to store and retrieve credentials, it is not necessary or sufficient for authorizing the Terraform Jenkins instance. The Terraform Jenkins instance still needs a service account with the appropriate IAM permissions to access Secret Manager and other Google Cloud resources.
NEW QUESTION # 38
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE) Each team manages a different application You need to create the development and production environments for each team while you minimize costs Different teams should not be able to access other teams environments You want to follow Google-recommended practices What should you do?
Answer: D
Explanation:
The best option for creating the development and production environments for each team while minimizing costs and ensuring isolation is to create a development and a production GKE cluster in separate projects, in each cluster create a Kubernetes namespace per team, and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace. This option allows you to use fewer clusters and projects than creating one project or cluster per team, which reduces costs and complexity. It also allows you to isolate each team's environment by using namespaces and RBAC, which prevents teams from accessing other teams' environments.
NEW QUESTION # 39
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