- A
Manually delete binlog files from the DB instance using the 'PURGE BINARY LOGS' command.
Why wrong: Manual deletion is possible but not efficient; Aurora automatically manages binlogs based on retention.
- B
Use the 'Binary Log Export' feature to export binlogs to Amazon S3 and delete them from the cluster.
Why wrong: Exporting to S3 does not reduce storage consumption on the cluster volume immediately.
- C
Disable binary logging on the Aurora cluster by setting the binlog_format parameter to OFF.
Aurora does not require binlogs for PITR; disabling them saves storage and improves performance.
- D
Reduce the binlog retention period to 1 hour.
Why wrong: Reducing retention may not free enough storage if binlogs are large; also, binlogs are not needed for PITR in Aurora.
DBS-C01 Aurora Storage Architecture Practice Question
This DBS-C01 practice question tests your understanding of management and operations. 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. A key principle to apply: aurora Storage Architecture. 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 Amazon Aurora MySQL-Compatible Edition. The database administrator notices that the Aurora cluster has a high number of binary log (binlog) files in the cluster volume, consuming significant storage. The binlog retention period is set to 24 hours. What is the most efficient way to reduce the storage consumed by binlog files without compromising point-in-time recovery (PITR)?
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
Disable binary logging on the Aurora cluster by setting the binlog_format parameter to OFF.
Option C is correct because Aurora MySQL does not rely on binlogs for point-in-time recovery (PITR); it uses its own storage-based recovery. Disabling binary logging eliminates binlog generation entirely, saving storage and reducing I/O overhead. Option A is incorrect because manually deleting binlog files is not recommended by AWS and does not address the root cause. Option B is incorrect because exporting binlogs to Amazon S3 does not reduce the storage consumed within the cluster volume. Option D is incorrect because reducing the retention period only limits how long binlogs are kept, but binlogs still accumulate and consume storage until they expire.
Key principle: Aurora Storage Architecture
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Manually delete binlog files from the DB instance using the 'PURGE BINARY LOGS' command.
Why it's wrong here
Manual deletion is possible but not efficient; Aurora automatically manages binlogs based on retention.
- ✗
Use the 'Binary Log Export' feature to export binlogs to Amazon S3 and delete them from the cluster.
Why it's wrong here
Exporting to S3 does not reduce storage consumption on the cluster volume immediately.
- ✓
Disable binary logging on the Aurora cluster by setting the binlog_format parameter to OFF.
Why this is correct
Aurora does not require binlogs for PITR; disabling them saves storage and improves performance.
Related concept
Aurora Storage Architecture
- ✗
Reduce the binlog retention period to 1 hour.
Why it's wrong here
Reducing retention may not free enough storage if binlogs are large; also, binlogs are not needed for PITR in Aurora.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Aurora Storage Architecture
- Binary Logs in Aurora MySQL
- Point-in-Time Recovery (PITR) in Aurora
- Disabling Binary Logging
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
Aurora Storage Architecture
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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.
Review aurora Storage Architecture, then practise related DBS-C01 questions on the same topic to reinforce the concept.
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Management and Operations — study guide chapter
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Management and Operations practice questions
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Management and Operations — This question tests Management and Operations — Aurora Storage Architecture.
What is the correct answer to this question?
The correct answer is: Disable binary logging on the Aurora cluster by setting the binlog_format parameter to OFF. — Option C is correct because Aurora MySQL does not rely on binlogs for point-in-time recovery (PITR); it uses its own storage-based recovery. Disabling binary logging eliminates binlog generation entirely, saving storage and reducing I/O overhead. Option A is incorrect because manually deleting binlog files is not recommended by AWS and does not address the root cause. Option B is incorrect because exporting binlogs to Amazon S3 does not reduce the storage consumed within the cluster volume. Option D is incorrect because reducing the retention period only limits how long binlogs are kept, but binlogs still accumulate and consume storage until they expire.
What should I do if I get this DBS-C01 question wrong?
Review aurora Storage Architecture, then practise related DBS-C01 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Aurora Storage Architecture
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Last reviewed: Jun 20, 2026
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