Question 832 of 1,672
MLS-C01 Data Engineering Practice Question
A data engineer needs to process streaming data from an IoT fleet and store the results in Amazon S3 for analysis. The solution must be serverless and handle data that arrives at irregular intervals. Which AWS service should be used to ingest the data?
⚠ Common exam trap
Watch out — candidates often confuse Amazon Kinesis Data Streams as the default for streaming data, but for IoT-specific ingestion with irregular intervals and native MQTT support, AWS IoT Core is the correct serverless choice.
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
✓
AWS IoT Core
AWS IoT Core is the correct choice because it is a fully managed, serverless service designed specifically to ingest data from IoT devices at scale, handling irregular and high-frequency message arrivals via MQTT, HTTP, or LoRaWAN protocols. It can directly route data to Amazon S3 using IoT Rules, making it ideal for this streaming IoT fleet scenario without requiring any server management.
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 S3
Why it's wrong here
S3 is object storage, not an ingestion service.
- ✓
AWS IoT Core
Why this is correct
AWS IoT Core provides secure device connectivity, message routing, and integrates with serverless processing.
- ✗
Amazon Simple Queue Service (SQS)
Why it's wrong here
SQS is a message queue, not a device ingestion service.
- ✗
Amazon Kinesis Data Streams
Why it's wrong here
Kinesis Data Streams is for streaming data but does not handle device connectivity and authentication like IoT Core.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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Last reviewed: Jul 4, 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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