You are hosting a very large dataset in BigQuery. You want to minimize the amount of data scanned for common queries that filter by 'date'. What should you do?

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

Correct Answer: Use a Partitioned Table (on the date column)

Partitioning divides a large table into smaller segments based on a column value (like a date), allowing BigQuery to prune irrelevant partitions during a query and reduce costs....

๐Ÿ“‹Part of Professional Cloud Architect ยท GCP Certification Practice
Real Exam ScenarioBigQuery

You are hosting a very large dataset in BigQuery. You want to minimize the amount of data scanned for common queries that filter by 'date'. What should you do?

โœ“ Correct Answer & ExplanationBigQuery

Correct Answer

Use a Partitioned Table (on the date column)

Why This Answer Is Correct

Partitioning divides a large table into smaller segments based on a column value (like a date), allowing BigQuery to prune irrelevant partitions during a query and reduce costs.

๐Ÿ“š What This Question Tests

This question evaluates your knowledge of BigQuery โ€” a core concept tested in Professional Cloud Architect. Understanding BigQuery 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.