- A
AWS DataSync
Why wrong: DataSync is for NFS/SMB or S3-to-S3.
- B
Amazon Kinesis Data Streams
Why wrong: Kinesis Data Streams is for streaming data, not batch ingestion from SaaS.
- C
AWS Transfer Family
Why wrong: Transfer Family is for FTP transfers.
- D
AWS Glue
Glue can connect to Salesforce via JDBC and write to S3.
- E
Amazon AppFlow
AppFlow supports Salesforce as a source and S3 as destination.
Question 1,280 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
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 data engineer needs to ingest data from a SaaS application (Salesforce) into Amazon S3 on a daily basis. Which TWO AWS services can be used for this purpose? (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 provides a fully managed ETL service that can connect to Salesforce via JDBC and extract data into Amazon S3 on a scheduled basis. Glue's crawlers and jobs can handle incremental loads and schema evolution, making it suitable for daily ingestion from SaaS sources.
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.
- ✗
AWS DataSync
Why it's wrong here
DataSync is for NFS/SMB or S3-to-S3.
- ✗
Amazon Kinesis Data Streams
Why it's wrong here
Kinesis Data Streams is for streaming data, not batch ingestion from SaaS.
- ✗
AWS Transfer Family
Why it's wrong here
Transfer Family is for FTP transfers.
- ✓
AWS Glue
Why this is correct
Glue can connect to Salesforce via JDBC and write to S3.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Amazon AppFlow
Why this is correct
AppFlow supports Salesforce as a source and S3 as destination.
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 may confuse AWS DataSync's ability to sync from cloud sources (like EFS) with SaaS applications, but DataSync does not support Salesforce or other SaaS APIs natively.
Detailed technical explanation
How to think about this question
Under the hood, AWS Glue uses a Spark-based runtime with a Salesforce connector that leverages the Salesforce Bulk API 2.0 for efficient large-volume data extraction, supporting PK chunking and query pagination. This allows Glue to handle millions of records without hitting API rate limits, which is critical for daily ingestion jobs that must complete within a window. In contrast, Amazon AppFlow uses OAuth 2.0 flows and Salesforce's REST API with automatic retries and incremental transfer via watermark columns, making it a simpler no-code alternative for the same use case.
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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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: AWS Glue — AWS Glue is correct because it provides a fully managed ETL service that can connect to Salesforce via JDBC and extract data into Amazon S3 on a scheduled basis. Glue's crawlers and jobs can handle incremental loads and schema evolution, making it suitable for daily ingestion from SaaS sources.
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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