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Data Ingestion and Transformation →mediumMultiple SelectObjective-mapped

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 uses AWS Glue to run ETL jobs daily. The jobs consume data from an Amazon RDS for MySQL database and write results to Amazon S3. The company wants to minimize the impact on the source database during extraction. Which THREE actions should the data engineer take to achieve this? (Choose THREE.)

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

A
Schedule the Glue job to run during off-peak hours.
Runs when database load is naturally low.
B
Configure the Glue job to connect to a read replica of the RDS instance.
Offloads read queries to a replica, reducing load on the primary.
C
Increase the number of Glue DPUs to process data faster.
Why wrong: More DPUs may increase parallel connections, potentially increasing database load.
D
Disable Glue job bookmarks to force full refresh.
Why wrong: Full refresh increases data extraction and load.
E
Use a JDBC connection with a WHERE clause to extract only incremental data.
Reduces the amount of data extracted, thus reducing load.

Full breakdown with real-world context →

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

✓

Schedule the Glue job to run during off-peak hours.

Scheduling the Glue job to run during off-peak hours minimizes the load on the source RDS for MySQL database by avoiding high-traffic periods, reducing contention for CPU, memory, and I/O resources. This is a straightforward operational practice to reduce impact on production databases during extraction.

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.

✓
Schedule the Glue job to run during off-peak hours.
Why this is correct
Runs when database load is naturally low.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✓
Configure the Glue job to connect to a read replica of the RDS instance.
Why this is correct
Offloads read queries to a replica, reducing load on the primary.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the number of Glue DPUs to process data faster.
Why it's wrong here
More DPUs may increase parallel connections, potentially increasing database load.
✗
Disable Glue job bookmarks to force full refresh.
Why it's wrong here
Full refresh increases data extraction and load.
✓
Use a JDBC connection with a WHERE clause to extract only incremental data.
Why this is correct
Reduces the amount of data extracted, thus reducing load.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often assume increasing DPUs (parallelism) always improves performance without realizing it can amplify the load on the source database, and they may overlook that disabling bookmarks forces full refreshes, which is the opposite of minimizing impact.

Detailed technical explanation

How to think about this question

Glue job bookmarks track processed data using a state file in S3, enabling incremental processing by storing the last processed timestamp or offset. When using a JDBC connection with a WHERE clause to extract only incremental data (e.g., WHERE last_modified > '2025-01-01'), the database can leverage indexes to scan fewer rows, drastically reducing I/O and locking overhead compared to full table scans. In real-world scenarios, this is critical for large tables where full scans could cause replication lag or query timeouts.

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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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: Schedule the Glue job to run during off-peak hours. — Scheduling the Glue job to run during off-peak hours minimizes the load on the source RDS for MySQL database by avoiding high-traffic periods, reducing contention for CPU, memory, and I/O resources. This is a straightforward operational practice to reduce impact on production databases during extraction.

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.

Are there clue words in this question I should notice?

Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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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.