- A
AWS Database Migration Service (DMS)
Why wrong: DMS is for database migration, not streaming data.
- B
AWS Glue ETL job triggered by an event
Why wrong: Glue ETL is batch-oriented, not designed for real-time streaming ingestion.
- C
Amazon Kinesis Data Firehose
Firehose is a fully managed service for loading streaming data into S3 with near-real-time delivery.
- D
Amazon S3 Transfer Acceleration
Why wrong: Transfer Acceleration speeds up uploads to S3 but does not handle streaming ingestion.
MLA-C01 Practice Question: A data engineer needs to ingest streaming data…
This MLA-C01 practice question tests your understanding of mla-c01 exam topics. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 ingest streaming data from IoT devices into Amazon S3 for machine learning. The data arrives continuously and must be available for querying within minutes. Which service should be used to collect and deliver the streaming data 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 ingest streaming data in real time and automatically deliver it to destinations like Amazon S3 with near-real-time latency (typically 60 seconds minimum buffering). It handles data transformation, compression, and partitioning without requiring custom code, making it ideal for continuously arriving IoT data that must be queryable within minutes.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Database Migration Service (DMS)
Why it's wrong here
DMS is for database migration, not streaming data.
- ✗
AWS Glue ETL job triggered by an event
Why it's wrong here
Glue ETL is batch-oriented, not designed for real-time streaming ingestion.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Firehose is a fully managed service for loading streaming data into S3 with near-real-time delivery.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon S3 Transfer Acceleration
Why it's wrong here
Transfer Acceleration speeds up uploads to S3 but does not handle streaming ingestion.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse AWS Glue (a batch ETL service) with a streaming ingestion tool, or mistakenly think S3 Transfer Acceleration can handle continuous streaming data, when in fact only Kinesis Data Firehose provides the necessary buffering and automatic delivery for near-real-time streaming to S3.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose buffers incoming data up to a configurable size (1 MB minimum) or interval (60 seconds minimum) before writing to S3, ensuring near-real-time delivery. It can also invoke AWS Lambda for custom transformations (e.g., JSON flattening) before delivery, and supports dynamic partitioning using inline parsing of data fields like timestamps or device IDs. In a real-world IoT scenario, Firehose can handle thousands of records per second from devices like temperature sensors, automatically partitioning data into S3 prefixes like `year=2025/month=03/day=15/` for efficient querying with Athena.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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.
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 |
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Amazon Kinesis Data Firehose — Amazon Kinesis Data Firehose is the correct choice because it is a fully managed service designed to ingest streaming data in real time and automatically deliver it to destinations like Amazon S3 with near-real-time latency (typically 60 seconds minimum buffering). It handles data transformation, compression, and partitioning without requiring custom code, making it ideal for continuously arriving IoT data that must be queryable within minutes.
What should I do if I get this MLA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 2026
This MLA-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 MLA-C01 exam.
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