- A
Amazon RDS
Why wrong: RDS is a relational database, not an S3 ingestion service.
- B
AWS Glue
AWS Glue can ingest batch data and write to S3.
- C
Amazon EMR
Why wrong: EMR processes data but is not a direct ingestion service.
- D
Amazon DynamoDB
Why wrong: DynamoDB is a NoSQL database, not an S3 ingestion service.
- E
Amazon Kinesis Data Firehose
Kinesis Data Firehose can deliver streaming data to S3.
Question 377 of 1,786
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 lake must support both batch and streaming ingestion. Which TWO AWS services can ingest data directly into S3? (Choose TWO.)
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
✓
AWS Glue
AWS Glue is correct because it can ingest data directly into S3 via AWS Glue crawlers and ETL jobs, which read from various sources and write the processed data to S3. Amazon Kinesis Data Firehose is correct because it is a fully managed service that can capture, transform, and load streaming data directly into S3 without requiring custom code.
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 RDS
Why it's wrong here
RDS is a relational database, not an S3 ingestion service.
- ✓
AWS Glue
Why this is correct
AWS Glue can ingest batch data and write to S3.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon EMR
Why it's wrong here
EMR processes data but is not a direct ingestion service.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB is a NoSQL database, not an S3 ingestion service.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Kinesis Data Firehose can deliver streaming data to S3.
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 services that can process data from S3 (like EMR) with services that can directly ingest data into S3, or they mistakenly think RDS or DynamoDB can natively write to S3 without additional services.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose uses a buffering mechanism (configurable from 1 to 900 seconds and 1 MB to 128 MB) to batch records before writing to S3, which optimizes cost and reduces the number of S3 PUT requests. AWS Glue ETL jobs can leverage Apache Spark under the hood to perform complex transformations and write data in formats like Parquet, ORC, or Avro directly to S3, supporting both batch and streaming ingestion via Glue Streaming ETL.
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 Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: AWS Glue — AWS Glue is correct because it can ingest data directly into S3 via AWS Glue crawlers and ETL jobs, which read from various sources and write the processed data to S3. Amazon Kinesis Data Firehose is correct because it is a fully managed service that can capture, transform, and load streaming data directly into S3 without requiring custom code.
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: Jun 24, 2026
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