- A
AWS Glue Schema Registry
Manages schema evolution for streaming data.
- B
AWS Snowball Edge
Why wrong: Snowball is for large batch transfers.
- C
Amazon AppFlow
Why wrong: AppFlow is for SaaS applications.
- D
Amazon Kinesis Data Streams with Kinesis Agent
Why wrong: Kinesis Agent is for log files, not database CDC.
- E
AWS Database Migration Service (DMS) with CDC
DMS captures ongoing changes from Oracle.
Question 1,653 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 is building a pipeline to ingest data from an on-premises Oracle database into Amazon S3. The pipeline must capture change data (CDC) in near real-time and handle schema changes. Which TWO AWS services should the engineer use?
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 Schema Registry
AWS Glue Schema Registry (A) is correct because it enables schema discovery, validation, and evolution for streaming data, allowing the pipeline to handle schema changes from the Oracle CDC source. It integrates with Apache Kafka and Amazon Kinesis Data Streams to enforce schema compatibility rules (e.g., backward, forward, full) as data arrives, ensuring downstream consumers can adapt to evolving schemas without breaking.
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 Glue Schema Registry
Why this is correct
Manages schema evolution for streaming data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Snowball Edge
Why it's wrong here
Snowball is for large batch transfers.
- ✗
Amazon AppFlow
Why it's wrong here
AppFlow is for SaaS applications.
- ✗
Amazon Kinesis Data Streams with Kinesis Agent
Why it's wrong here
Kinesis Agent is for log files, not database CDC.
- ✓
AWS Database Migration Service (DMS) with CDC
Why this is correct
DMS captures ongoing changes from Oracle.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The DEA-C01 exam often tests the misconception that Amazon Kinesis Data Streams alone can perform CDC from a database, but Kinesis requires a separate agent or connector (like Debezium or DMS) to read database logs, making DMS the correct CDC service.
Detailed technical explanation
How to think about this question
AWS DMS with CDC (E) works by reading the Oracle redo logs (using LogMiner or binary reader) to capture inserts, updates, and deletes in near real-time, then streaming them to S3 via a target endpoint. The Glue Schema Registry integrates with DMS by storing and managing the evolving Avro or JSON schemas of the CDC data, enabling downstream consumers to validate and adapt to schema changes automatically. In practice, DMS can handle schema changes like adding columns by propagating them to the target, but the registry ensures compatibility checks before consumption.
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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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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: AWS Glue Schema Registry — AWS Glue Schema Registry (A) is correct because it enables schema discovery, validation, and evolution for streaming data, allowing the pipeline to handle schema changes from the Oracle CDC source. It integrates with Apache Kafka and Amazon Kinesis Data Streams to enforce schema compatibility rules (e.g., backward, forward, full) as data arrives, ensuring downstream consumers can adapt to evolving schemas without breaking.
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
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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