PCD Practice Test 7 — 10 Questions

Question 1

You are designing a monitoring strategy for a microservices architecture running on GKE. Each service emits custom business metrics (e.g., order processing time). You want to create a dashboard that shows the 99th percentile latency for each service over the last 7 days. Which approach should you take?

Accepted Answer

Write custom metrics to Cloud Monitoring and create a dashboard with the 99th percentile aligner.. Option B is correct because Cloud Monitoring supports custom metrics and provides built-in aligners, including a 99th percentile aligner, which can be applied directly in a dashboard chart. This allows you to compute the 99th percentile latency for each service over the last 7 days without manual calculation or exporting logs. Custom metrics are the appropriate mechanism for business metrics like order processing time, as they are designed for numeric time-series data.

Answer

Export logs to Cloud Logging and use Log Analytics to compute percentiles.

Answer

Use Metrics Explorer to view the metrics and manually compute percentiles.

Answer

Use Prometheus monitoring built into GKE and query the avg() function.

Question 2

Match each Cloud Storage class to its typical use case.

Question 3

Match each IAM role to its description.

Question 4

Match each Cloud CDN feature to its benefit.

Question 5

Match each Cloud Logging and Monitoring concept to its definition.

Question 6

Match each Google Cloud service to its primary purpose.

Question 7

Match each Cloud SQL database engine to its description.

Question 8

Match each command-line tool to its primary use.

Question 9

Match each error code to its meaning in Google Cloud.

Question 10

A team is migrating a monolithic .NET application to Cloud Run. The application uses .NET Framework 4.8 and depends on Windows-specific libraries. What is the recommended approach to containerize and deploy this application?

Accepted Answer

Port the application to .NET Core/.NET 6+ and run on Linux. Cloud Run only supports Linux containers, so a .NET Framework 4.8 application that depends on Windows-specific libraries cannot be directly deployed. The recommended approach is to port the application to .NET Core/.NET 6+ (now .NET 8/9), which is cross-platform and can run on Linux containers, enabling deployment to Cloud Run. This aligns with Google's guidance for modernizing legacy .NET applications to leverage serverless platforms.

Answer

Deploy the application on Compute Engine with Windows Server

Answer

Use Cloud Run for Anthos on a Windows node pool

Answer

Use a Windows base image and deploy to Cloud Run