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Google Professional-Cloud-DevOps-Engineer Certification Exam is a highly sought after certification for professionals looking to demonstrate their expertise in implementing DevOps practices on Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification validates the skills and knowledge required to build, deploy, and manage applications using Google Cloud Platform tools and services.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q188-Q193):

NEW QUESTION # 188
You have migrated an e-commerce application to Google Cloud Platform (GCP). You want to prepare the application for the upcoming busy season. What should you do first to prepare for the busy season?

A. Enable AutoScaling on the production clusters, in case there is growth.
B. Pre-provision double the compute power used last season, expecting growth.
C. Load teat the application to profile its performance for scaling.
D. Create a runbook on inflating the disaster recovery (DR) environment if there is growth.

Answer: A

NEW QUESTION # 189
You are running a real-time gaming application on Compute Engine that has a production and testing environment. Each environment has their own Virtual Private Cloud (VPC) network. The application frontend and backend servers are located on different subnets in the environment's VPC. You suspect there is a malicious process communicating intermittently in your production frontend servers. You want to ensure that network traffic is captured for analysis. What should you do?

A. Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 1.0. Apply changes in testing before production.
B. Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 0.5. Apply changes in testing before production.
C. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 0.5.
D. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 1.0.

Answer: A

NEW QUESTION # 190
You deploy a new release of an internal application during a weekend maintenance window when there is minimal user tragic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do? (Choose two.)

A. Integrate a code linting tool to validate coding standards before any code is accepted into the repository.
B. Adopt the blue/green deployment strategy when releasing new code via a CD server.
C. Before merging new code, require 2 different peers to review the code changes.
D. Require developers to run automated integration tests on their local development environments before release.
E. Configure a CI server. Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.

Answer: A,C

NEW QUESTION # 191
You deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do?
Choose 2 answers

A. Integrate a code linting tool to validate coding standards before any code is accepted into the repository.
B. Adopt the blue/green deployment strategy when releasing new code via a CD server.
C. Before merging new code, require 2 different peers to review the code changes.
D. Require developers to run automated integration tests on their local development environments before release.
E. Configure a CI server. Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.

Answer: A,C

NEW QUESTION # 192
You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?

A. Reroute the user traffic from the affected region to other regions that don't report issues.
B. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
C. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
D. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.

Answer: A

Explanation:
Google always aims to first stop the impact of an incident, and then find the root cause (unless the root cause just happens to be identified early on).

NEW QUESTION # 193
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