Quick Answer
The answer is Amazon Kinesis Data Streams, as it is the only AWS service purpose-built for ingesting and storing high-velocity streaming data from thousands of IoT devices while enabling real-time analytics. Kinesis Data Streams provides durable, low-latency data storage for up to 365 days, allowing Kinesis Data Analytics to process the stream continuously without needing to stage data in an intermediate store. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of the real-time data pipeline architecture, specifically the distinction between ingestion/storage services and analytics services. A common trap is choosing Amazon S3, but S3 introduces latency from object finalization and is not designed for sub-second streaming. DynamoDB and RDS are transactional stores, not streaming buffers. Remember the memory tip: “Streams for streams” — if the question mentions “ingesting” and “real-time,” think Kinesis Data Streams first.
This MLS-C01 practice question tests your understanding of data engineering. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Amazon Kinesis Data Streams
Kinesis Data Streams ingests and stores streaming data in real-time for analytics.
Amazon S3
Why wrong: S3 is object storage, not for real-time streaming ingestion.
Amazon RDS
Why wrong: RDS is a relational database, not designed for streaming data.
Amazon DynamoDB
Why wrong: DynamoDB is a NoSQL database, not a streaming data store.
Answer choices
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
Option C is correct because Kinesis Data Streams is designed for real-time data ingestion and storage, and integrates with Kinesis Data Analytics. Option A is wrong because S3 is not real-time; Option B is wrong because DynamoDB is for NoSQL, not streaming; Option D is wrong because RDS is a relational database not suited for high-velocity streaming.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
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.
Related concept
Read the scenario before looking for a memorised answer.
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.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Data Engineering — This question tests Data Engineering — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon Kinesis Data Streams — Option C is correct because Kinesis Data Streams is designed for real-time data ingestion and storage, and integrates with Kinesis Data Analytics. Option A is wrong because S3 is not real-time; Option B is wrong because DynamoDB is for NoSQL, not streaming; Option D is wrong because RDS is a relational database not suited for high-velocity streaming.
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
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?
easyWhy A: Amazon Kinesis Data Streams is designed for real-time data streaming with low latency and can handle high throughput from many sources. Option A is wrong because SQS is for decoupled messaging, not streaming. Option C is wrong because Kinesis Data Firehose is for loading streaming data into destinations with some latency. Option D is wrong because S3 itself is not a streaming ingestion service.
Last reviewed: Jun 20, 2026
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.
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