- A
Amazon AppFlow
AppFlow can ingest data from SaaS applications like Salesforce and Marketo.
- B
Amazon EventBridge
EventBridge can schedule or trigger steps in the pipeline, ensuring low latency.
- C
Amazon Kinesis Data Streams
Why wrong: Kinesis is not a SaaS connector; AppFlow is more appropriate.
- D
AWS Glue DataBrew
DataBrew can profile and clean data, including deduplication and schema handling.
- E
AWS Database Migration Service (DMS)
Why wrong: DMS is for database migration, not SaaS applications.
Question 1,575 of 1,786
Which AWS Services Support SaaS Ingestion with Schema Changes and Deduplication?
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 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.)
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.
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 AppFlow
Why this is correct
AppFlow can ingest data from SaaS applications like Salesforce and Marketo.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Amazon EventBridge
Why this is correct
EventBridge can schedule or trigger steps in the pipeline, ensuring low latency.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Kinesis Data Streams
Why it's wrong here
Kinesis is not a SaaS connector; AppFlow is more appropriate.
- ✓
AWS Glue DataBrew
Why this is correct
DataBrew can profile and clean data, including deduplication and schema handling.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Database Migration Service (DMS)
Why it's wrong here
DMS is for database migration, not SaaS applications.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often 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.
Detailed technical explanation
How to think about this question
Amazon AppFlow uses OAuth 2.0 for secure authentication with SaaS APIs and supports incremental transfers via change data capture (CDC) mechanisms like Salesforce's GetUpdated/GetDeleted API. Under the hood, it maps source fields to S3 objects in Parquet or JSON format, and when a schema change occurs (e.g., a new field added in Salesforce), AppFlow automatically updates the target schema without breaking the pipeline. This is critical for maintaining data integrity in analytics workloads where schema drift is common.
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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Data Ingestion and Transformation — study guide chapter
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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 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.
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
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.
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