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Data EngineeringeasyMultiple ChoiceObjective-mapped

MLS-C01 Data Engineering Practice Question

A data engineering team needs to process streaming data from thousands of IoT devices. The data must be ingested with low latency and processed in near real-time to detect anomalies. Which AWS service should they use for ingestion?

⚠ Common exam trap

Test-takers frequently confuse Kinesis Data Firehose (which delivers data to destinations with some latency) with Kinesis Data Streams (which is designed for real-time ingestion and processing), often overlooking the 'low latency' and 'near real-time' requirements in the question.

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

Amazon Kinesis Data Streams

Amazon Kinesis Data Streams is the correct choice because it is designed for real-time, low-latency ingestion of streaming data from thousands of sources, such as IoT devices. It provides a durable, scalable data stream that can be consumed by multiple applications in near real-time, making it ideal for anomaly detection use cases.

Answer analysis

Option-by-option breakdown

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

  • Amazon Kinesis Data Firehose

    Why it's wrong here

    Kinesis Data Firehose is for loading data to destinations, not low-latency ingestion.

  • Amazon Kinesis Data Analytics

    Why it's wrong here

    Kinesis Data Analytics is for processing streams, not ingestion.

  • Amazon S3

    Why it's wrong here

    S3 is object storage, not a streaming ingestion service.

  • Amazon Kinesis Data Streams

    Why this is correct

    Kinesis Data Streams is the correct service for real-time streaming ingestion.

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Last reviewed: Jul 4, 2026

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This MLS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLS-C01 exam.