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Google Professional-Cloud-DevOps-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Number:	Professional-Cloud-DevOps-Engineer
Exam Format:	Multiple select, Multiple choice
Certificate Validity Period:	2 years
Exam Price:	$200 (plus tax where applicable)
Exam Duration:	120 minutes
Passing Score:	Not publicly disclosed
Real Exam Qty:	50-60
Related Certifications:	Professional Cloud Architect Professional Cloud Security Engineer Professional Cloud Network Engineer Professional Cloud Developer
Available Languages:	Japanese, English
Recommended Training:	Exam Guide Professional Cloud DevOps Engineer Learning Path
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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The Google Professional-Cloud-DevOps-Engineer exam consists of multiple-choice questions that test the candidate's knowledge and understanding of various cloud computing concepts and tools. Professional-Cloud-DevOps-Engineer exam is designed to assess the candidate's ability to design and implement scalable and secure cloud solutions using best practices and industry standards. Professional-Cloud-DevOps-Engineer Exam takes approximately two hours to complete, and candidates must achieve a passing score of 70% or higher to receive certification. The Google Professional-Cloud-DevOps-Engineer certification is a valuable credential for professionals who want to demonstrate their expertise in cloud DevOps engineering and advance their careers in this field.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q107-Q112):

NEW QUESTION # 107
You are building an application that runs on Cloud Run The application needs to access a third-party API by using an API key You need to determine a secure way to store and use the API key in your application by following Google-recommended practices What should you do?

A. Save the API key in Secret Manager as a secret Reference the secret as an environment variable in the Cloud Run application
B. Save the API key in Secret Manager as a secret key Mount the secret key under the /sys/api_key directory and decrypt the key in the Cloud Run application
C. Encrypt the API key by using Cloud Key Management Service (Cloud KMS) and pass the key to Cloud Run as an environment variable Decrypt and use the key in Cloud Run
D. Save the API key in Cloud Key Management Service (Cloud KMS) as a key Reference the key as an environment variable in the Cloud Run application

Answer: A

Explanation:
The best option for storing and using the API key in your application by following Google-recommended practices is to save the API key in Secret Manager as a secret and reference the secret as an environment variable in the Cloud Run application. Secret Manager is a service that allows you to store and manage sensitive data, such as API keys, passwords, and certificates, in Google Cloud. A secret is a resource that represents a logical secret, such as an API key. You can save the API key in Secret Manager as a secret and use IAM policies to control who can access it. You can also reference the secret as an environment variable in the Cloud Run application by using the ${SECRET_NAME} syntax. This way, you can securely store and use the API key in your application without exposing it in your code or configuration files.

NEW QUESTION # 108
You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?

A. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
B. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.
C. Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.
D. Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.

Answer: D

NEW QUESTION # 109
You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service's operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices. What should you do? (Choose two.)

A. Shift engineering time to other services that need more reliability.
B. Change the implementation of your Service Level Indicators (SLIs) to increase coverage.
C. Increase the service's deployment velocity and/or risk.
D. Get the product team to prioritize reliability work over new features.
E. Make the service's SLO more strict.

Answer: A,C

NEW QUESTION # 110
You encountered a major service outage that affected all users of the service for multiple hours. After several hours of incident management, the service returned to normal, and user access was restored. You need to provide an incident summary to relevant stakeholders following the Site Reliability Engineering recommended practices. What should you do first?

A. Call individual stakeholders lo explain what happened.
B. Require the engineer responsible to write an apology email to all stakeholders.
C. Develop a post-mortem to be distributed to stakeholders.
D. Send the Incident State Document to all the stakeholders.

Answer: C

NEW QUESTION # 111
Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members.
What should you do?

A. Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
B. Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.
C. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.
D. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.

Answer: C

Explanation:
Explanation
https://www.terraform.io/docs/cloud/guides/recommended-practices/part3.3.html

NEW QUESTION # 112
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