Quick Answer
The answer is AWS Glue. This service is the most appropriate choice for scheduled batch ingestion from relational databases because it natively supports running extract, transform, and load (ETL) jobs on a cron-based schedule, connecting to JDBC sources like Oracle and writing the output directly to Amazon S3. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your ability to distinguish between batch and streaming services: AWS Database Migration Service (DMS) is designed for continuous replication, not scheduled daily batches, while Kinesis Data Firehose handles near-real-time streaming, and Data Pipeline is a legacy alternative. A common trap is confusing DMS’s full-load capability with scheduled batch—remember that DMS lacks native scheduling for periodic snapshots without ongoing replication. For memory, think “Glue for the daily grind”—it sticks to your schedule and sticks your data to S3.
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 wants to ingest data from an on-premises Oracle database into Amazon S3 on a daily basis. The data volume is 500 GB per transfer. Which AWS service is most appropriate for this batch ingestion?
AWS Database Migration Service (DMS)
Why wrong: DMS is designed for continuous migration, not scheduled batch transfers.
AWS Data Pipeline
Why wrong: Data Pipeline is a legacy service; Glue is the modern replacement.
Amazon Kinesis Data Firehose
Why wrong: Firehose is for streaming data, not batch.
AWS Glue
Glue can run scheduled crawlers and ETL jobs for batch ingestion.
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
Option B is correct because AWS Glue can run scheduled ETL jobs to extract data from JDBC sources like Oracle and write to S3. Option A (DMS) is for ongoing replication, not scheduled batch. Option C (Firehose) is for streaming, not batch. Option D (Data Pipeline) is a legacy service.
Key principle: ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
AWS Database Migration Service (DMS)
Why it's wrong here
DMS is designed for continuous migration, not scheduled batch transfers.
AWS Data Pipeline
Why it's wrong here
Data Pipeline is a legacy service; Glue is the modern replacement.
Amazon Kinesis Data Firehose
Why it's wrong here
Firehose is for streaming data, not batch.
AWS Glue
Why this is correct
Glue can run scheduled crawlers and ETL jobs for batch ingestion.
Related concept
Standard ACLs match source addresses.
Common exam traps
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Detailed technical explanation
ACL questions test precision: source, destination, protocol, port and direction. A generally correct ACL can still fail if it is applied on the wrong interface or in the wrong direction.
Key takeaway
ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
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 ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related DEA-C01 ACL questions on filtering logic and placement.
Data Ingestion and Transformation — study guide chapter
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FAQ
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Standard ACLs match source addresses..
The correct answer is: AWS Glue — Option B is correct because AWS Glue can run scheduled ETL jobs to extract data from JDBC sources like Oracle and write to S3. Option A (DMS) is for ongoing replication, not scheduled batch. Option C (Firehose) is for streaming, not batch. Option D (Data Pipeline) is a legacy service.
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related DEA-C01 ACL questions on filtering logic and placement.
Standard ACLs match source addresses.
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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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