MLS-C01 Data Engineering Practice Question
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?
⚠ Common exam trap
Watch out — candidates often confuse Kinesis Data Firehose with Kinesis Data Streams, assuming Firehose's direct S3 integration makes it faster, but they overlook the mandatory buffer delay that Firehose imposes, which violates the minimal latency requirement.
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 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.
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 provides low-latency, real-time data ingestion.
- ✗
Amazon Kinesis Data Firehose
Why it's wrong here
Firehose is for loading data into destinations with near-real-time latency.
- ✗
Amazon SQS
Why it's wrong here
SQS is a message queue service, not optimized for high-throughput streaming.
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Amazon S3
Why it's wrong here
S3 is object storage, not a streaming ingestion service.
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 |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.