Free Access Google.Professional-Cloud-DevOps-Engineer.v2026-09-16.q209 Practice Test (Page 10)

Question 41

You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A.flex/connections/current

B.tcp_ssl_proxy/new_connections

C.tcp_ssl_proxy/open_connections

D.flex/instance/connections/current

Question 42

You are analyzing Java applications in production. All applications have Cloud Profiler and Cloud Trace installed and configured by default. You want to determine which applications need performance tuning. What should you do?
Choose 2 answers

A.Examine the wall-clock time and the CPU time Of the application. If the difference is substantial, increase the CPU resource allocation.

B.Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the memory resource allocation.

C.17 Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the local disk storage allocation.

D.O Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization.

E.Examine the heap usage Of the application. If the usage is low, mark the application for optimization.

Correct Answer: A,D

The correct answers are A and D)
Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the CPU resource allocation. This is a good way to determine if the application is CPU-bound, meaning that it spends more time waiting for the CPU than performing actual computation. Increasing the CPU resource allocation can improve the performance of CPU-bound applications1.
Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization. This is a good way to determine if the application is I/O-bound, meaning that it spends more time waiting for input/output operations than performing actual computation. Increasing the CPU resource allocation will not help I/O-bound applications, and they may need optimization to reduce the number or duration of I/O operations2.
Answer B is incorrect because increasing the memory resource allocation will not help if the application is CPU-bound or I/O-bound. Memory allocation affects how much data the application can store and access in memory, but it does not affect how fast the application can process that data.
Answer C is incorrect because increasing the local disk storage allocation will not help if the application is CPU-bound or I/O-bound. Disk storage affects how much data the application can store and access on disk, but it does not affect how fast the application can process that data.
Answer E is incorrect because examining the heap usage of the application will not help to determine if the application needs performance tuning. Heap usage affects how much memory the application allocates for dynamic objects, but it does not affect how fast the application can process those objects. Moreover, low heap usage does not necessarily mean that the application is inefficient or unoptimized.

Question 43

You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

A.Compare the canary with a new deployment of the previous production version.

B.Compare the canary with a new deployment of the current production version.

C.Compare the canary with the existing deployment of the current production version.

D.Compare the canary with the average performance of a sliding window of previous production versions.

Question 44

You support a production service that runs on a single Compute Engine instance. You regularly need to spend time on recreating the service by deleting the crashing instance and creating a new instance based on the relevant image. You want to reduce the time spent performing manual operations while following Site Reliability Engineering principles. What should you do?

A.Create a Stackdriver Monitoring dashboard with SMS alerts to be able to start recreating the crashed instance promptly after it has crashed.

B.Add a Load Balancer in front of the Compute Engine instance and use health checks to determine the system status.

C.Create a Managed Instance Group with a single instance and use health checks to determine the system status.

D.File a bug with the development team so they can find the root cause of the crashing instance.

Question 45

You have a CI/CD pipeline that uses Cloud Build to build new Docker images and push them to Docker Hub. You use Git for code versioning. After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline. You need to resolve the issue following Site Reliability Engineering practices. What should you do?

A.Disable the CI pipeline and revert to manually building and pushing the artifacts.

B.Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.

C.Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.

D.Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.

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