- A
Use AWS Schema Conversion Tool (SCT)
Why wrong: SCT is for converting schema before migration, not during ongoing replication.
- B
Use AWS Glue ETL jobs
Why wrong: Glue is not directly integrated with DMS for ongoing replication.
- C
Use DMS transformation rules
DMS transformation rules allow renaming tables, schemas, and columns during replication.
- D
Use AWS Lambda triggers
Why wrong: Lambda can be used, but DMS transformation rules are simpler and native.
Question 1,682 of 1,786
DMS Transformation Rules for Schema Mapping
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 using AWS DMS to replicate data from an on-premises Oracle database to Amazon RDS for MySQL. The replication is working, but the target table has a different schema. Which DMS feature should be used to transform the source schema to match the target?
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 DMS transformation rules
AWS DMS transformation rules allow you to modify the schema, table, or column names and data types during the migration process. This feature is specifically designed to handle schema transformations within the DMS task itself, enabling you to map the source Oracle schema to the target MySQL schema without external tools or services.
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.
- ✗
Use AWS Schema Conversion Tool (SCT)
Why it's wrong here
SCT is for converting schema before migration, not during ongoing replication.
- ✗
Use AWS Glue ETL jobs
Why it's wrong here
Glue is not directly integrated with DMS for ongoing replication.
- ✓
Use DMS transformation rules
Why this is correct
DMS transformation rules allow renaming tables, schemas, and columns during replication.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use AWS Lambda triggers
Why it's wrong here
Lambda can be used, but DMS transformation rules are simpler and native.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse AWS Schema Conversion Tool (SCT) with DMS transformation rules, assuming SCT handles runtime schema mapping, whereas SCT is a separate pre-migration assessment and conversion tool, not a DMS feature for ongoing replication transformations.
Detailed technical explanation
How to think about this question
DMS transformation rules are defined in the task's JSON configuration and can include actions like 'rename', 'remove', or 'add-prefix' at the schema, table, or column level. For example, you can use a rule to map a source Oracle table named 'EMP' to a target MySQL table named 'employees' while preserving ongoing replication. This is critical in real-world scenarios where source and target schemas differ due to naming conventions or business requirements, and using transformation rules avoids the need for manual schema changes or external ETL tools.
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 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
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: Use DMS transformation rules — AWS DMS transformation rules allow you to modify the schema, table, or column names and data types during the migration process. This feature is specifically designed to handle schema transformations within the DMS task itself, enabling you to map the source Oracle schema to the target MySQL schema without external tools or services.
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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Same concept, more angles
1 more ways this is tested on DEA-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company wants to ingest data from an on-premises SQL Server database into Amazon Redshift. They need to transform the data during ingestion, such as masking PII columns. Which approach meets these requirements with minimal operational overhead?
medium- A.Use AWS Glue ETL jobs to extract data from SQL Server, transform it, and load into Redshift
- B.Use a custom application on EC2 to extract, transform, and load
- C.Use Kinesis Data Firehose to stream data from SQL Server to Redshift
- ✓ D.Use AWS Database Migration Service (DMS) with transformation rules
Why D: Option D is correct because AWS DMS can perform transformations, such as data masking, during the migration process and can load data directly into Amazon Redshift, minimizing operational overhead. Option A (AWS Glue ETL) adds an extra step and overhead compared to DMS. Option B (custom application on EC2) introduces high operational overhead for management and scaling. Option C (Kinesis Data Firehose) is designed for streaming data and is not suitable for batch ingestion from an on-premises SQL Server database.
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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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