Question 629 of 1,672
MLS-C01 Data Engineering Practice Question
A data engineer is designing a data lake on Amazon S3. The data is collected from IoT devices and is highly variable in volume. The engineer needs to ensure that the data is ingested reliably and can be processed in near real-time. Which AWS service should be used to ingest the data into the data lake?
⚠ Common exam trap
Many exam-takers confuse Amazon Kinesis Data Streams (a raw streaming service requiring custom consumers) with Amazon Kinesis Data Firehose (a fully managed delivery service), leading them to select Data Streams for direct S3 ingestion when it actually requires additional code and infrastructure to write to S3.
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 Firehose
Amazon Kinesis Data Firehose is the correct choice because it is a fully managed service designed to reliably load streaming data into data lakes on Amazon S3 with near-real-time latency (typically 60 seconds). It automatically handles scaling to accommodate highly variable IoT data volumes, provides built-in data transformation and compression, and requires no manual shard management or consumer code, making it ideal for ingestion into S3-based data lakes.
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 Firehose
Why this is correct
Firehose can load streaming data directly into S3 with near real-time latency.
- ✗
AWS Glue
Why it's wrong here
Glue is a batch ETL service, not designed for real-time ingestion.
- ✗
Amazon Kinesis Data Streams
Why it's wrong here
Kinesis Streams requires custom consumers and does not directly write to S3.
- ✗
Amazon Simple Queue Service (SQS)
Why it's wrong here
SQS is a message queue, not optimized for large-scale streaming ingestion to S3.
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 |
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 →
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.