Quick Answer
The correct answer is AWS Transfer Family, AWS Glue, and Amazon Redshift. AWS Transfer Family securely ingests the daily batch files from the legacy FTP server into Amazon S3, AWS Glue then applies the complex business logic transformations using its serverless Spark or Python shell jobs, and Amazon Redshift serves as the target data warehouse for the transformed data. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your ability to distinguish between batch ETL and streaming ingestion paths—a common trap is selecting Amazon Kinesis Data Streams for batch file processing, which is designed for real-time streaming, not scheduled file transfers. Another pitfall is choosing Amazon Athena, which is an interactive query service, not an ETL transformation engine. Remember the mnemonic “FTG” for File Transfer, Glue, and Gold (Redshift) to recall the three services for a legacy batch ETL migration.
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 is migrating a legacy on-premises ETL pipeline to AWS. The pipeline processes daily batch files from an FTP server. The data must be transformed using complex business logic before being loaded into Amazon Redshift. Which THREE AWS services should be used for this migration?
Amazon Athena
Why wrong: Athena is for querying, not ETL.
Amazon Redshift
Redshift is the target data warehouse.
AWS Glue
Glue can perform complex transformations.
Amazon Kinesis Data Streams
Why wrong: Kinesis Data Streams is for streaming, not batch files.
AWS Transfer Family
Transfer Family can ingest files from FTP servers.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon Redshift
Option A, Option C, and Option D are correct because AWS Transfer Family can ingest files from FTP, AWS Glue can perform complex transformations, and Amazon Redshift is the target. Option B is wrong because Kinesis Data Streams is for streaming data. Option E is wrong because Athena is for querying, not ETL.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon Athena
Why it's wrong here
Athena is for querying, not ETL.
Amazon Redshift
Why this is correct
Redshift is the target data warehouse.
Related concept
Read the scenario before looking for a memorised answer.
AWS Glue
Why this is correct
Glue can perform complex transformations.
Related concept
Read the scenario before looking for a memorised answer.
Amazon Kinesis Data Streams
Why it's wrong here
Kinesis Data Streams is for streaming, not batch files.
AWS Transfer Family
Why this is correct
Transfer Family can ingest files from FTP servers.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Data Ingestion and Transformation — study guide chapter
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FAQ
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon Redshift — Option A, Option C, and Option D are correct because AWS Transfer Family can ingest files from FTP, AWS Glue can perform complex transformations, and Amazon Redshift is the target. Option B is wrong because Kinesis Data Streams is for streaming data. Option E is wrong because Athena is for querying, not ETL.
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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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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