Quick Answer
The correct answer is Amazon AppFlow and AWS Glue. Amazon AppFlow is purpose-built for SaaS data ingestion to S3 with AppFlow and Glue, offering native, no-code integration with Salesforce that can directly write to an S3 bucket on a scheduled daily basis. AWS Glue complements this by using JDBC connections to pull data from Salesforce, allowing for more custom ETL transformations before landing it in S3. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your ability to distinguish between batch ingestion services for SaaS sources versus real-time or file-transfer tools. A common trap is selecting Kinesis Data Streams, which is designed for streaming data, not scheduled batch pulls from a SaaS API, or DataSync, which handles file and object storage migrations. Remember the memory tip: “AppFlow for the flow from SaaS, Glue for the JDBC queue.”
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.)
AWS DataSync
Why wrong: DataSync is for NFS/SMB or S3-to-S3.
Amazon Kinesis Data Streams
Why wrong: Kinesis Data Streams is for streaming data, not batch ingestion from SaaS.
AWS Transfer Family
Why wrong: Transfer Family is for FTP transfers.
AWS Glue
Glue can connect to Salesforce via JDBC and write to S3.
Amazon AppFlow
AppFlow supports Salesforce as a source and S3 as destination.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
AWS Glue
Amazon AppFlow natively integrates with Salesforce and can write to S3. AWS Glue can also connect via JDBC. Option A is correct. Option B is wrong because Kinesis Data Streams is for real-time streaming, not batch from SaaS. Option C is correct. Option D is wrong because Transfer Family is for FTP. Option E is wrong because DataSync is for file/object storage, not SaaS.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
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
Static NAT maps one inside address to one outside address.
Amazon AppFlow
Why this is correct
AppFlow supports Salesforce as a source and S3 as destination.
Related concept
Static NAT maps one inside address to one outside address.
Common exam traps
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
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.
What to study next
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.
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FAQ
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Static NAT maps one inside address to one outside address..
The correct answer is: AWS Glue — Amazon AppFlow natively integrates with Salesforce and can write to S3. AWS Glue can also connect via JDBC. Option A is correct. Option B is wrong because Kinesis Data Streams is for real-time streaming, not batch from SaaS. Option C is correct. Option D is wrong because Transfer Family is for FTP. Option E is wrong because DataSync is for file/object storage, not SaaS.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 20, 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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