A data analytics team needs to process streaming data from millions of IoT devices. The data arrives at unpredictable intervals and must be analyzed in real-time before being stored in BigQuery. Which architecture is most scalable and cost-effective?

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

Correct Answer: Cloud Pub/Sub -> Cloud Dataflow -> BigQuery

The Pub/Sub + Dataflow combination is the industry-standard serverless pattern for real-time stream processing in GCP, offering automatic scaling and native integration with BigQue...

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Real Exam ScenarioBigQuery

A data analytics team needs to process streaming data from millions of IoT devices. The data arrives at unpredictable intervals and must be analyzed in real-time before being stored in BigQuery. Which architecture is most scalable and cost-effective?

โœ“ Correct Answer & ExplanationBigQuery

Correct Answer

Cloud Pub/Sub -> Cloud Dataflow -> BigQuery

Why This Answer Is Correct

The Pub/Sub + Dataflow combination is the industry-standard serverless pattern for real-time stream processing in GCP, offering automatic scaling and native integration with BigQuery.

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.