DEA-C01 Data Store Management Practice Question
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.)
⚠ Common exam trap
A common mix-up: candidates 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.
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.
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.
- ✗
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.
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 |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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