DEA-C01 Data Ingestion and Transformation Practice Question
A company needs to ingest data from multiple SaaS applications (Salesforce, Marketo) into Amazon S3 for analytics. The data volume is moderate (~100 GB per day). The pipeline must handle schema changes, deduplicate records, and provide low latency (under 1 hour). Which THREE services should be used? (Choose THREE.)
⚠ Common exam trap
Many candidates confuse Amazon Kinesis Data Streams as a universal ingestion service, but it lacks native SaaS connectors and schema evolution handling, making it unsuitable for this specific use case compared to AppFlow.
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 AppFlow
Amazon AppFlow is the correct choice because it is a fully managed integration service specifically designed to transfer data from SaaS applications like Salesforce and Marketo to AWS services such as Amazon S3. It supports incremental transfers, handles schema changes automatically via its schema evolution feature, and can achieve sub-hour latency for moderate data volumes (~100 GB/day) without custom coding.
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 AppFlow
Why this is correct
AppFlow can ingest data from SaaS applications like Salesforce and Marketo.
- ✓
Amazon EventBridge
Why this is correct
EventBridge can schedule or trigger steps in the pipeline, ensuring low latency.
- ✗
Amazon Kinesis Data Streams
Why it's wrong here
Kinesis Data Streams provides real-time ingestion but lacks native deduplication and schema evolution handling; the pipeline would require custom code for these tasks, increasing latency beyond the 1-hour target. It is tempting because it excels for streaming data under 5-minute latency, such as clickstream processing, where schema changes are managed externally.
- ✓
AWS Glue DataBrew
Why this is correct
DataBrew can profile and clean data, including deduplication and schema handling.
- ✗
AWS Database Migration Service (DMS)
Why it's wrong here
DMS is for database migration, not SaaS applications.
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
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.