- A
Amazon Athena
Why wrong: Athena is a query service.
- B
Amazon Kinesis Data Firehose
Firehose can ingest streaming data and deliver to S3 in near real-time; batch data can be sent via Firehose API.
- C
S3 Transfer Acceleration
Why wrong: Transfer Acceleration only speeds up uploads.
- D
AWS Glue
Why wrong: Glue is batch-only.
Question 615 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 is designing a data lake on Amazon S3. The data ingestion pipeline must handle both batch and streaming data. The engineer wants to use a single service to ingest both types of data. Which service should the engineer choose?
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 that can ingest both batch and streaming data and deliver it directly to Amazon S3 without requiring custom code. It can receive streaming data from sources like Kinesis Data Streams or Amazon CloudWatch Logs, and also handle batch data via API calls, making it a single ingestion point for both patterns. While AWS Glue does support both batch and streaming ETL, it is primarily an ETL service that requires writing and managing jobs, and is not designed as a direct data ingestion service to S3 without additional configuration. Therefore, Kinesis Data Firehose is the most appropriate service for this requirement.
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 Athena
Why it's wrong here
Athena is a query service.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Firehose can ingest streaming data and deliver to S3 in near real-time; batch data can be sent via Firehose API.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
S3 Transfer Acceleration
Why it's wrong here
Transfer Acceleration only speeds up uploads.
- ✗
AWS Glue
Why it's wrong here
Glue is batch-only.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon Kinesis Data Firehose with Amazon Kinesis Data Streams, but the question specifically asks for a single service that handles both batch and streaming data and delivers to S3, which Firehose does directly without requiring a separate consumer.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose uses a buffering mechanism (configurable from 1 to 900 seconds or 1 MB to 128 MB) to accumulate records before writing to S3, which allows it to efficiently handle both near-real-time streaming and batch-style submissions. Under the hood, it can optionally transform data using AWS Lambda before delivery, and it supports compression and partitioning (e.g., by year/month/day/hour) to optimize downstream querying in services like Athena or Redshift Spectrum.
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 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 a fully managed service that can ingest both batch and streaming data and deliver it directly to Amazon S3 without requiring custom code. It can receive streaming data from sources like Kinesis Data Streams or Amazon CloudWatch Logs, and also handle batch data via API calls, making it a single ingestion point for both patterns. While AWS Glue does support both batch and streaming ETL, it is primarily an ETL service that requires writing and managing jobs, and is not designed as a direct data ingestion service to S3 without additional configuration. Therefore, Kinesis Data Firehose is the most appropriate service for this requirement.
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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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 →
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Last reviewed: Jul 4, 2026
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