CERTIFIED-DATA-ANALYST-ASSOCIATE Question #25: Real Exam Question with Answer & Explanation

Question

A manufacturing company wants to use data from sensors installed on the machinery to continually monitor the performance of its production line. Which of the following Databricks SQL features would be most beneficial in this situation?

Options

• ADatabricks SQL can be used to ingest streaming data in real-time
• BDatabricks SQL can be used to design and create visualizations using BI tools
• CDatabricks SQL can be used to query data across multiple data sources
• DDatabricks SQL can be used to handle unstructured data

Explanation

Option A is correct because the scenario requires continuous, real-time monitoring of sensor data - a streaming use case. Databricks SQL supports streaming ingestion (via Structured Streaming and Delta Live Tables), making it the right fit for live production-line data arriving from IoT sensors.

Why the distractors are wrong:

• B (BI visualizations) is a valid Databricks SQL capability, but it addresses presenting data, not ingesting or monitoring it in real-time - the core need here.
• C (multi-source queries) is also a real feature, but the scenario involves a single, continuous sensor stream, not cross-source federation.
• D (unstructured data) is a mismatch - sensor telemetry is typically structured/semi-structured, and nothing in the scenario mentions unstructured data handling.

Memory tip: The keyword "continually monitor" = streaming. Whenever an exam question mentions sensors, IoT, or real-time production monitoring, anchor on the streaming/ingestion capability as the primary value driver.

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