Exam Professional Cloud Developer topic 1 question 333 discussion

Actual exam question from Google's Professional Cloud Developer

Question #: 333
Topic #: 1

[All Professional Cloud Developer Questions]

You recently developed an application that will be hosted on Cloud Run. You need to conduct a load test. You want to analyze the load test logs second by second to understand your Cloud Run service's response to rapid traffic spikes. You want to minimize effort. How should you analyze the logs?

A. Use estimation to extrapolate performance from summary monitoring charts.
B. Analyze the log data in BigQuery by configuring a BigQuery log sink with the appropriate inclusion filter for your application.
C. Use Cloud Monitoring’s default log console for analysis.
D. Analyze the log data in Cloud SQL for PostgreSQL by pushing logs to a Pub/Sub topic. Use Dataflow to process and ingest the logs.

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Suggested Answer: B 🗳️

by Sandesh24 at March 1, 2025, 9:57 a.m.

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Sandesh24

2 months ago

Selected Answer: B

Exporting your Cloud Logging data to BigQuery via a log sink allows you to run precise SQL queries to analyze log entries on a second-by-second basis. This approach minimizes effort while providing the detailed, time-specific insights you need to understand how your Cloud Run service handles rapid traffic spikes. Using the default log console or other methods would either lack the required granularity or require significantly more effort to set up.

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Exam Professional Cloud Developer topic 1 question 333 discussion

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Sandesh24

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