- A
Amazon Kinesis Data Analytics
Why wrong: Used for analyzing streaming data, not for loading to S3.
- B
Amazon Simple Queue Service (SQS)
Why wrong: Message queue, not designed for high-throughput streaming ingestion to S3.
- C
Amazon Kinesis Data Streams with a Lambda consumer
Why wrong: Requires custom consumer; not fully managed for S3 delivery.
- D
Amazon Kinesis Data Firehose
Directly loads streaming data to S3 with transformation and columnar format support.
Question 9 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 thousands of IoT devices into Amazon S3 in near real-time. The data must be processed with minimal latency and stored in a columnar format for analytics. Which service should the engineer use to ingest the data?
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 designed to ingest streaming data and deliver it directly to Amazon S3 with near-real-time latency (typically 60 seconds or more, depending on buffer settings). It automatically converts data to columnar formats like Parquet or ORC, which is essential for analytics, and requires no custom code for the delivery pipeline, minimizing operational overhead.
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.
- ✗
Amazon Kinesis Data Analytics
Why it's wrong here
Used for analyzing streaming data, not for loading to S3.
- ✗
Amazon Simple Queue Service (SQS)
Why it's wrong here
Message queue, not designed for high-throughput streaming ingestion to S3.
- ✗
Amazon Kinesis Data Streams with a Lambda consumer
Why it's wrong here
Requires custom consumer; not fully managed for S3 delivery.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Directly loads streaming data to S3 with transformation and columnar format support.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Kinesis Data Streams (which requires a consumer like Lambda to write to S3) with Kinesis Data Firehose (which is a fully managed delivery service), leading them to choose Option C because they think they need a Lambda consumer for processing, but Firehose handles the entire ingestion pipeline without custom code.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose uses internal buffers (configurable from 1 MB to 128 MB or 60 seconds to 900 seconds) to batch records before writing to S3, and it can invoke AWS Lambda for lightweight transformations (e.g., converting JSON to Parquet) via a built-in integration. Under the hood, Firehose leverages the S3 multipart upload API for efficient large-object writes, and it supports automatic retries and dead-letter queues for failed deliveries, making it robust for high-volume IoT scenarios.
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.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — 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 designed to ingest streaming data and deliver it directly to Amazon S3 with near-real-time latency (typically 60 seconds or more, depending on buffer settings). It automatically converts data to columnar formats like Parquet or ORC, which is essential for analytics, and requires no custom code for the delivery pipeline, minimizing operational overhead.
What should I do if I get this DEA-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.
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Last reviewed: Jul 4, 2026
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