Correct Answer: BigQuery
BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data....
Correct Answer
BigQuery
Why This Answer Is Correct
BigQuery is designed for large-scale data warehousing and analytics, allowing you to run SQL queries on petabytes of data.
This question evaluates your knowledge of BigQuery — a core concept tested in Professional Cloud DevOps Engineer. 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.
You are analyzing petabytes of data for business intelligence reports. You need a fully managed, serverless enterprise data warehouse that supports SQL queries. Which service is best suited for this task?
Which Google Cloud service is a serverless, highly scalable, and cost-effective multi-cloud data warehouse designed for business agility?
What does it mean that BigQuery has a 'Separated Storage and Compute' architecture?
An administrator wants to query data that is stored in Cloud Storage (CSV/Parquet) without loading it into BigQuery. Which feature should they use?
Which BigQuery feature helps reduce query costs and improve performance by only scanning relevant data blocks based on a column like 'timestamp'?