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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q128-Q133):

NEW QUESTION # 128
You need to reduce the cost of virtual machines (VM| for your organization. After reviewing different options, you decide to leverage preemptible VM instances. Which application is suitable for preemptible VMs?

A. A distributed, eventually consistent NoSQL database cluster with sufficient quorum
B. A scalable in-memory caching system
C. The organization's public-facing website
D. A GPU-accelerated video rendering platform that retrieves and stores videos in a storage bucket

Answer: D

Explanation:
https://cloud.google.com/compute/docs/instances/preemptible

NEW QUESTION # 129
Your company follows Site Reliability Engineering principles. You are writing a postmortem for an incident, triggered by a software change, that severely affected users. You want to prevent severe incidents from happening in the future. What should you do?

A. Follow up with the employees who reviewed the changes and prescribe practices they should follow in the future.
B. Design a policy that will require on-call teams to immediately call engineers and management to discuss a plan of action if an incident occurs.
C. Identify engineers responsible for the incident and escalate to their senior management.
D. Ensure that test cases that catch errors of this type are run successfully before new software releases.

Answer: A

NEW QUESTION # 130
You need to create a Cloud Monitoring SLO for a service that will be published soon. You want to verify that requests to the service will be addressed in fewer than 300 ms at least 90% Of the time per calendar month.
You need to identify the metric and evaluation method to use. What should you do?

A. Select a latency metric for a request-based method of evaluation.
B. Select a latency metric for a window-based method of evaluation.
C. Select an availability metric for a window-based method Of evaluation.
D. Select an availability metric for a request-based method of evaluation.

Answer: A

Explanation:
Explanation
The correct answer is A. Select a latency metric for a request-based method of evaluation.
A latency metric measures how responsive your service is to users. For example, you can use the cloud.googleapis.com/http/server/response_latencies metric to measure the latency of HTTP requests to your service1. A request-based method of evaluation counts the number of successful requests that meet a certain criterion, such as being below a latency threshold, and compares it to the number of all requests. For example, you can define an SLI as the ratio of requests with latency below 300 ms to all requests2. A request-based method of evaluation is suitable for measuring performance over time, such as per calendar month. You can set an SLO for the SLI to be at least 90%, which means that you expect 90% of the requests to have latency below 300 ms in a month3.

NEW QUESTION # 131
You are responsible for creating and modifying the Terraform templates that define your Infrastructure. Because two new engineers will also be working on the same code, you need to define a process and adopt a tool that will prevent you from overwriting each other's code. You also want to ensure that you capture all updates in the latest version. What should you do?

A. * Store your code in a Git-based version control system.* Establish a process that allows developers to merge their own changes at the end of each day.* Package and upload code lo a versioned Cloud Storage bucket as the latest master version.
B. * Store your code in a Git-based version control system.* Establish a process that includes code reviews by peers and unit testing to ensure integrity and functionality before integration of code.* Establish a process where the fully integrated code in the repository becomes the latest master version.
C. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.* At the end of each day. confirm that all changes have been captured in the files within the folder structure.* Rename the folder structure with a predefined naming convention that increments the version.
D. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.* At the end of each day, confirm that all changes have been captured in the files within the folder structure and create a new .zip archive with a predefined naming convention.* Upload the .zip archive to a versioned Cloud Storage bucket and accept it as the latest version.

Answer: B

NEW QUESTION # 132
Your team is preparing to launch a new API in Cloud Run. The API uses an OpenTelemetry agent to send distributed tracing data to Cloud Trace to monitor the time each request takes. The team has noticed inconsistent trace collection. You need to resolve the issue. What should you do?

A. Use an HTTP health check.
B. Increase the CPU limit in Cloud Run from 2 to 4.
C. Configure CPU to be always-allocated.
D. Configure CPU to be allocated only during request processing.

Answer: C

Explanation:
Comprehensive and Detailed Explanation:
Cloud Run scales down to zero when idle. If CPU is allocated only during request processing, background telemetry tasks (like OpenTelemetry traces) may not complete before the container shuts down.
Solution: Configure CPU to be always-allocated # This ensures that background tasks (like trace exports) continue even when the service is idle.
#Why not other options?
A (Increasing CPU to 4 cores)## More CPU won't help if traces are being cut off due to shutdown.
B (Using an HTTP health check)## Doesn't affect OpenTelemetry traces.
C (CPU only during request processing)## This causes the problem because traces need CPU after request completion to be exported.
#Official Reference:
Cloud Run Tracing with OpenTelemetry
Cloud Run Always-Allocated CPU

NEW QUESTION # 133
......

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q128-Q133):

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