You are designing a high-throughput data ingestion pipeline for log files. The logs must be stored for 7 days for real-time analysis in BigQuery and then archived to Cloud Storage for long-term compliance. Which architecture is best?

Direct Answer (Verified)Reviewed by Sunny (Senior Cloud Engineer)

Correct Answer: Log Sinks in Cloud Logging with multiple destinations (BigQuery and Cloud Storage)

Log Sinks allow you to route logs to multiple destinations simultaneously and efficiently, ensuring both real-time analytical availability and long-term storage without custom pipe...

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Real Exam ScenarioGoogle Cloud Observability

You are designing a high-throughput data ingestion pipeline for log files. The logs must be stored for 7 days for real-time analysis in BigQuery and then archived to Cloud Storage for long-term compliance. Which architecture is best?

โœ“ Correct Answer & ExplanationGoogle Cloud Observability

Correct Answer

Log Sinks in Cloud Logging with multiple destinations (BigQuery and Cloud Storage)

Why This Answer Is Correct

Log Sinks allow you to route logs to multiple destinations simultaneously and efficiently, ensuring both real-time analytical availability and long-term storage without custom pipeline management.

๐Ÿ“š What This Question Tests

This question evaluates your knowledge of Google Cloud Observability โ€” a core concept tested in Professional Cloud Architect. Understanding Google Cloud Observability is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.