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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
Real Exam Qty:50-60
Available Languages:Japanese, English
Certificate Validity Period:2 years
Exam Duration:120 minutes
Exam Format:Multiple choice, Multiple select
Related Certifications:Professional Cloud Network Engineer
Professional Cloud Architect
Professional Cloud Security Engineer
Professional Cloud Developer
Passing Score:Not publicly disclosed
Exam Price:$200 (plus tax where applicable)
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 Cloud Certified - Professional Cloud DevOps Engineer Exam certification is ideal for individuals with a strong background in IT operations, software development, and automation, who are looking to specialize in cloud-based DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam covers a wide range of topics, including cloud architecture, CI/CD, containerization, security, and monitoring, among others.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q185-Q190):

NEW QUESTION # 185
Your organization uses a change advisory board (CAB) to approve all changes to an existing service You want to revise this process to eliminate any negative impact on the software delivery performance What should you do?
Choose 2 answers

Answer: A,C

Explanation:
A change advisory board (CAB) is a traditional way of approving changes to a service, but it can slow down the software delivery performance and introduce bottlenecks. A better way to improve the speed and quality of changes is to use a peer-review based process for individual changes that is enforced at code check-in time and supported by automated tests. This way, developers can get fast feedback on the impact of their changes and catch any errors or bugs before they reach production. Additionally, the team's development platform should enable developers to get fast feedback on the impact of their changes, such as using Cloud Code, Cloud Build, or Cloud Debugger.


NEW QUESTION # 186
You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?

Answer: A

Explanation:
https://cloud.google.com/error-reporting/docs/formatting-error-messages
https://cloud.google.com/error-reporting/docs/reference/libraries#client-libraries-install-python no need to install error reporting library on App Engine Flex.


NEW QUESTION # 187
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.)

Answer: B,D

Explanation:
(https://sre.google/workbook/implementing-slos/#slo-decision-matrix)


NEW QUESTION # 188
Your company runs an ecommerce website built with JVM-based applications and microservice architecture in Google Kubernetes Engine (GKE) The application load increases during the day and decreases during the night Your operations team has configured the application to run enough Pods to handle the evening peak load You want to automate scaling by only running enough Pods and nodes for the load What should you do?

Answer: A

Explanation:
Explanation
The best option for automating scaling by only running enough Pods and nodes for the load is to configure the Horizontal Pod Autoscaler and enable the cluster autoscaler. The Horizontal Pod Autoscaler is a feature that automatically adjusts the number of Pods in a deployment or replica set based on observed CPU utilization or custom metrics. The cluster autoscaler is a feature that automatically adjusts the size of a node pool based on the demand for node capacity. By using both features together, you can ensure that your application runs enough Pods to handle the load, and that your cluster runs enough nodes to host the Pods. This way, you can optimize your resource utilization and cost efficiency.


NEW QUESTION # 189
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,E

Explanation:
Explanation
https://sre.google/workbook/incident-response/
"The main roles in incident response are the Incident Commander (IC), Communications Lead (CL), and Operations or Ops Lead (OL)." The Operations Lead is responsible for managing the operational aspects of the incident, such as deploying fixes, rolling back changes, or restoring backups. The External Customer Communications Lead is not a standard role in incident response, but it could be delegated by the Communications Lead if needed.


NEW QUESTION # 190
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