The answer is to increase the backup retention period to 30 days. This works because Amazon RDS for PostgreSQL uses Write-Ahead Log (WAL) files to enable point-in-time recovery, and the database engine ties WAL cleanup directly to the configured backup retention window. When the retention period is too short, RDS holds onto old WAL segments longer than necessary, causing rapid WAL growth and storage issues; extending the retention to 30 days forces RDS to purge WAL files in sync with the new window, preventing unbounded accumulation while meeting compliance. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding that backup retention controls both recovery capability and WAL lifecycle in RDS—a common trap is assuming you need to manually archive or delete WALs, when simply adjusting retention is the correct lever. Memory tip: think of backup retention as the “WAL governor”—longer retention means tighter WAL management, not more storage waste.
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 media company stores video metadata in Amazon RDS for PostgreSQL. The database is 500 GB and experiences high write traffic. The data engineer notices that the transaction log (WAL) is growing rapidly, causing storage issues. The company needs to retain backups for 30 days for compliance. The database is currently using automated backups with a retention period of 7 days. Which solution should the engineer implement to address the WAL growth while meeting compliance requirements?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase the backup retention period to 30 days.
Option C is correct because increasing the backup retention period to 30 days directly addresses the compliance requirement while also managing WAL growth. In Amazon RDS for PostgreSQL, automated backups rely on WAL files to support point-in-time recovery (PITR). When the retention period is too short (e.g., 7 days), RDS may not purge old WAL segments aggressively enough, causing them to accumulate. By extending the retention to 30 days, RDS properly manages WAL cleanup based on the new retention window, preventing unbounded WAL growth and meeting the 30-day compliance 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.
✗
Create manual snapshots daily and delete automated backups.
Why it's wrong here
Manual snapshots do not clean up WAL files; WAL growth continues.
✗
Change the instance type to a larger one with more storage.
Why it's wrong here
More storage does not address WAL growth; WAL files still accumulate.
Read the scenario before looking for a memorised answer.
✗
Configure the database to stream WAL files to Amazon S3.
Why it's wrong here
RDS does not support streaming WAL to S3; this is not a native option.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think manual snapshots or streaming WAL to S3 are valid solutions, but RDS for PostgreSQL does not support direct WAL streaming to S3, and manual snapshots do not control WAL retention—only the automated backup retention period governs WAL cleanup in RDS.
Detailed technical explanation
How to think about this question
Amazon RDS for PostgreSQL uses WAL segments to enable automated backups and PITR. The `wal_keep_segments` parameter (or `wal_keep_size` in newer versions) and the backup retention period together determine how long WAL files are retained. When the retention period is increased, RDS automatically adjusts the WAL retention policy, ensuring that old WAL segments are removed after they are no longer needed for recovery within the new window. In contrast, manual snapshots capture a point-in-time state but do not influence WAL lifecycle, so they cannot mitigate WAL accumulation.
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.
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.
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase the backup retention period to 30 days. — Option C is correct because increasing the backup retention period to 30 days directly addresses the compliance requirement while also managing WAL growth. In Amazon RDS for PostgreSQL, automated backups rely on WAL files to support point-in-time recovery (PITR). When the retention period is too short (e.g., 7 days), RDS may not purge old WAL segments aggressively enough, causing them to accumulate. By extending the retention to 30 days, RDS properly manages WAL cleanup based on the new retention window, preventing unbounded WAL growth and meeting the 30-day compliance 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.
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Question Discussion
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