Quick Answer
The answer is Amazon Kinesis Data Streams. This service is purpose-built for streaming data ingestion from thousands of IoT devices, offering low-latency, durable, and scalable ingestion that enables near real-time anomaly detection. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your ability to distinguish between the Kinesis family services: Data Streams handles raw ingestion, Data Analytics processes streams, and Data Firehose loads data to destinations like S3. A common trap is confusing Kinesis Data Firehose for ingestion, but Firehose is a delivery service with higher latency and no custom processing. Remember the memory tip: “Streams for streams, Firehose for flows” — Data Streams is your direct ingestion pipeline for real-time data, while Firehose is for automated loading to storage or analytics services.
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 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?
Amazon Kinesis Data Firehose
Why wrong: Kinesis Data Firehose is for loading data to destinations, not low-latency ingestion.
Amazon Kinesis Data Analytics
Why wrong: Kinesis Data Analytics is for processing streams, not ingestion.
Amazon S3
Why wrong: S3 is object storage, not a streaming ingestion service.
Amazon Kinesis Data Streams
Kinesis Data Streams is the correct service for real-time streaming ingestion.
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
Amazon Kinesis Data Streams is designed for real-time streaming data ingestion and can handle large throughput with low latency. Option A is wrong because S3 is for object storage, not streaming. Option C is wrong because Kinesis Data Analytics is for processing. Option D is wrong because Kinesis Data Firehose is for loading data to destinations.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
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.
Related concept
Static NAT maps one inside address to one outside address.
Common exam traps
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related MLS-C01 NAT questions on configuration and troubleshooting.
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FAQ
Data Engineering — This question tests Data Engineering — Static NAT maps one inside address to one outside address..
The correct answer is: Amazon Kinesis Data Streams — Amazon Kinesis Data Streams is designed for real-time streaming data ingestion and can handle large throughput with low latency. Option A is wrong because S3 is for object storage, not streaming. Option C is wrong because Kinesis Data Analytics is for processing. Option D is wrong because Kinesis Data Firehose is for loading data to destinations.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related MLS-C01 NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
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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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