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Data Concepts and EnvironmentsmediumMultiple ChoiceObjective-mapped

DA0-002 Data Concepts and Environments Practice Question

A company is building a data pipeline to ingest sensor data from IoT devices. The data arrives continuously in small batches and must be processed in real-time for monitoring. Which type of data source best describes this scenario?

⚠ Common exam trap

Test-takers frequently confuse 'real-time' with 'fast batch processing' and incorrectly choose a transactional database, not recognizing that streaming data sources are specifically designed for continuous, unbounded data flows with sub-second latency requirements.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Streaming data

B is correct because the scenario describes data arriving continuously in small batches that must be processed in real-time for monitoring. This is the defining characteristic of streaming data, which is typically ingested via technologies like Apache Kafka, Amazon Kinesis, or MQTT brokers, enabling low-latency processing and immediate alerting.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Transactional database

    Why it's wrong here

    Transactional databases are for OLTP workloads, not real-time streaming ingestion.

  • Streaming data

    Why this is correct

    IoT sensors produce streaming data that is continuous and requires real-time processing.

  • Web scraping

    Why it's wrong here

    Web scraping extracts data from websites, not from IoT sensors.

  • Flat file

    Why it's wrong here

    Flat files are static; they do not support continuous streaming.

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