- A
Amazon Kinesis Data Streams for IoT data ingestion.
Kinesis is ideal for real-time streaming data from devices.
- B
AWS Database Migration Service (DMS) for CDC from Aurora.
DMS supports ongoing replication and CDC from Aurora.
- C
AWS Transfer Family for SFTP-based file ingestion.
Transfer Family provides managed SFTP service for file uploads.
- D
AWS Glue ETL for CDC from Aurora.
Why wrong: Glue is not designed for CDC; AWS DMS is better suited for CDC.
- E
Amazon EMR for daily CSV ingestion.
Why wrong: EMR is for processing, not ingestion; CSV files can be ingested via Transfer Family or S3 APIs.
Question 752 of 1,786
Ingesting Multiple Data Sources: Streaming IoT (Kinesis), SFTP (Transfer Family), and CDC (DMS)
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 engineering team is building a data lake on Amazon S3. They need to ingest data from multiple sources: (1) streaming IoT data, (2) daily CSV exports from an on-premises system via SFTP, and (3) change data capture (CDC) from an Amazon Aurora database. Which THREE services should the team use to ingest these data sources?
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 Streams for IoT data ingestion.
Amazon Kinesis Data Streams is purpose-built for real-time streaming data ingestion, making it ideal for IoT data that arrives continuously. It can capture and store data streams for processing by consumers like Kinesis Data Analytics or Lambda, providing low-latency ingestion and durable storage.
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 Streams for IoT data ingestion.
Why this is correct
Kinesis is ideal for real-time streaming data from devices.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
AWS Database Migration Service (DMS) for CDC from Aurora.
Why this is correct
DMS supports ongoing replication and CDC from Aurora.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
AWS Transfer Family for SFTP-based file ingestion.
Why this is correct
Transfer Family provides managed SFTP service for file uploads.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Glue ETL for CDC from Aurora.
Why it's wrong here
Glue is not designed for CDC; AWS DMS is better suited for CDC.
- ✗
Amazon EMR for daily CSV ingestion.
Why it's wrong here
EMR is for processing, not ingestion; CSV files can be ingested via Transfer Family or S3 APIs.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing AWS Glue ETL (a batch ETL tool) with AWS DMS (a database migration and CDC service), and assuming Amazon EMR is an ingestion service rather than a processing framework for large-scale data transformations.
Detailed technical explanation
How to think about this question
Kinesis Data Streams uses shards to scale ingestion throughput, with each shard supporting up to 1 MB/s or 1,000 records/s for writes. For CDC, AWS DMS uses transaction logs (e.g., Aurora's binlog or PostgreSQL's WAL) to capture changes in near real-time without impacting source performance. AWS Transfer Family supports SFTP, FTPS, and FTP protocols, integrating with S3 as a fully managed endpoint, eliminating the need for an SFTP server.
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 Streams for IoT data ingestion. — Amazon Kinesis Data Streams is purpose-built for real-time streaming data ingestion, making it ideal for IoT data that arrives continuously. It can capture and store data streams for processing by consumers like Kinesis Data Analytics or Lambda, providing low-latency ingestion and durable storage.
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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