Correct Answer: BigQuery (querying archived log datasets)
Routing Audit or Data logs to BigQuery allows you to perform historical analysis and 'dry-run' new detection logic against past events....
Correct Answer
BigQuery (querying archived log datasets)
Why This Answer Is Correct
Routing Audit or Data logs to BigQuery allows you to perform historical analysis and 'dry-run' new detection logic against past events.
This question evaluates your knowledge of Google Cloud Observability — 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.
Your company is audit-heavy and needs to track every single configuration change made to any resource in the Google Cloud organization over the last 10 years. What is the most efficient way to achieve this?
Your team is adopting SRE principles and wants to define an 'Error Budget' for a critical service. Which metric is necessary to calculate this?
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?
An organization wants to automate the identification and classification of PII in their BigQuery tables. They want a periodic report of sensitive columns. Which service provides this functionality natively?
What is the primary log type you should enable to meet FedRAMP high compliance in GCP for tracking internal system changes by Google personnel?