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MLS-C01 Data Engineering Practice Question

A data engineer needs to store streaming data from thousands of IoT devices for real-time analytics. Which AWS service is most suitable for ingesting and storing this data for subsequent processing by Amazon Kinesis Data Analytics?

⚠ Common exam trap

Many exam-takers confuse durable storage (S3) or database services (RDS, DynamoDB) with the real-time ingestion and buffering capabilities of a stream, overlooking that Kinesis Data Analytics requires a streaming source like Kinesis Data Streams for continuous, low-latency processing.

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 most suitable service for ingesting and storing streaming data from thousands of IoT devices because it is designed for real-time data ingestion, can handle high throughput from many sources, and integrates natively with Amazon Kinesis Data Analytics for real-time analytics without needing additional storage layers. Its shard-based architecture allows for scalable, durable storage of streaming records for up to 365 days, enabling immediate processing by Kinesis Data Analytics.

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 Streams

    Why this is correct

    Kinesis Data Streams ingests and stores streaming data in real-time for analytics.

  • Amazon S3

    Why it's wrong here

    S3 is object storage, not for real-time streaming ingestion.

  • Amazon RDS

    Why it's wrong here

    RDS is a relational database, not designed for streaming data.

  • Amazon DynamoDB

    Why it's wrong here

    DynamoDB is a NoSQL database, not a streaming data store.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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Same concept, more angles

1 more way this is tested on MLS-C01

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A data engineering team needs to ingest streaming data from thousands of IoT devices into Amazon S3 for near-real-time analytics. The data arrives in bursts and must be processed with minimal latency. Which AWS service is most appropriate for the ingestion layer?

easy
  • A.Amazon Kinesis Data Streams
  • B.Amazon Kinesis Data Firehose
  • C.Amazon SQS
  • D.Amazon S3

Why A: Amazon Kinesis Data Streams is the most appropriate ingestion layer because it is designed for real-time, low-latency data ingestion from thousands of sources, such as IoT devices. It can handle bursty traffic by scaling shards dynamically and provides sub-second to second-level latency for data to be available for processing, which meets the minimal latency requirement for near-real-time analytics.

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.