- A
Modify the DMS task to use Apache Parquet as the target table preparation mode.
DMS can write directly in Parquet format.
- B
Add an S3 lifecycle rule to convert CSV to Parquet.
Why wrong: Lifecycle rules cannot change data format.
- C
Change the DMS task to use full load instead of continuous replication.
Why wrong: Full load stops ongoing replication.
- D
Configure a Lambda function to transform data after DMS writes to S3.
Why wrong: This adds complexity and latency; DMS can do it directly.
Question 1,496 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 uses AWS Database Migration Service (DMS) to continuously replicate data from an on-premises Oracle database to Amazon S3. The data is stored as CSV files. The downstream team requires the data to be in Apache Parquet format. Which change should the data engineer make to the DMS task?
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
✓
Modify the DMS task to use Apache Parquet as the target table preparation mode.
AWS DMS supports specifying Apache Parquet as the target data format for Amazon S3 targets directly within the task configuration. By setting the 'Data format' to 'Parquet' in the S3 target endpoint or task settings, DMS automatically converts the replicated data into Parquet files, eliminating the need for post-processing. This is the most efficient and native approach to meet the downstream team's requirement.
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.
- ✓
Modify the DMS task to use Apache Parquet as the target table preparation mode.
Why this is correct
DMS can write directly in Parquet format.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Add an S3 lifecycle rule to convert CSV to Parquet.
Why it's wrong here
Lifecycle rules cannot change data format.
- ✗
Change the DMS task to use full load instead of continuous replication.
Why it's wrong here
Full load stops ongoing replication.
- ✗
Configure a Lambda function to transform data after DMS writes to S3.
Why it's wrong here
This adds complexity and latency; DMS can do it directly.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume DMS only supports CSV for S3 targets, overlooking the built-in Parquet option, and instead choose a complex workaround like Lambda or lifecycle rules.
Detailed technical explanation
How to think about this question
When configuring an S3 target in DMS, you can set the 'DataFormat' parameter to 'parquet' in the task settings or endpoint configuration. DMS uses the Apache Parquet columnar storage format, which compresses data and optimizes it for analytics queries in services like Amazon Athena and Amazon Redshift Spectrum. Under the hood, DMS handles schema mapping and data type conversions automatically, ensuring the Parquet files maintain the correct structure from the source Oracle database.
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: Modify the DMS task to use Apache Parquet as the target table preparation mode. — AWS DMS supports specifying Apache Parquet as the target data format for Amazon S3 targets directly within the task configuration. By setting the 'Data format' to 'Parquet' in the S3 target endpoint or task settings, DMS automatically converts the replicated data into Parquet files, eliminating the need for post-processing. This is the most efficient and native approach to meet the downstream team's requirement.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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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