- A
Use AWS Database Migration Service (DMS) with ongoing replication to S3
DMS supports CDC and can replicate changes to S3 with low latency.
- B
Use Amazon Kinesis Data Firehose with an Oracle JDBC connector
Why wrong: Firehose does not natively support Oracle as a source; custom solution needed.
- C
Use AWS Glue to perform a full table export daily
Why wrong: Full export does not provide near real-time CDC.
- D
Use AWS DataSync to sync the Oracle data files to S3
Why wrong: DataSync is for file systems, not databases.
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 company is building a data lake on S3 and needs to ingest data from on-premises Oracle database. The data is 5 TB and changes incrementally. The ingestion must capture changes in near real-time (less than 1 minute latency) and be cost-effective. Which approach should be used?
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
Use AWS Database Migration Service (DMS) with ongoing replication to S3
Option B (Use AWS DMS with ongoing replication from Oracle to S3) is correct because DMS supports change data capture (CDC) with low latency. Option A (Full export using AWS Glue) does not capture incremental changes in near real-time. Option C (Use Kinesis Data Firehose with Oracle as source) is not directly possible without a connector. Option D (Use AWS DataSync) is for file transfers, not database CDC.
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
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use AWS Database Migration Service (DMS) with ongoing replication to S3
Why this is correct
DMS supports CDC and can replicate changes to S3 with low latency.
Related concept
Standard ACLs match source addresses.
- ✗
Use Amazon Kinesis Data Firehose with an Oracle JDBC connector
Why it's wrong here
Firehose does not natively support Oracle as a source; custom solution needed.
- ✗
Use AWS Glue to perform a full table export daily
Why it's wrong here
Full export does not provide near real-time CDC.
- ✗
Use AWS DataSync to sync the Oracle data files to S3
Why it's wrong here
DataSync is for file systems, not databases.
Common exam traps
Common exam trap: ACLs stop at the first match
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Detailed technical explanation
How to think about this question
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.
KKey Concepts to Remember
- Standard ACLs match source addresses.
- Extended ACLs can match source, destination, protocol and ports.
- The first matching ACL entry is used.
- There is usually an implicit deny at the end.
TExam Day Tips
- Check inbound versus outbound direction.
- Read the ACL from top to bottom.
- Look for a broader permit or deny above the intended line.
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
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
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.
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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 — Standard ACLs match source addresses..
What is the correct answer to this question?
The correct answer is: Use AWS Database Migration Service (DMS) with ongoing replication to S3 — Option B (Use AWS DMS with ongoing replication from Oracle to S3) is correct because DMS supports change data capture (CDC) with low latency. Option A (Full export using AWS Glue) does not capture incremental changes in near real-time. Option C (Use Kinesis Data Firehose with Oracle as source) is not directly possible without a connector. Option D (Use AWS DataSync) is for file transfers, not database CDC.
What should I do if I get this DEA-C01 question wrong?
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.
What is the key concept behind this question?
Standard ACLs match source addresses.
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Last reviewed: Jun 20, 2026
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