The correct solution is to migrate the database to Amazon Aurora MySQL, as it is engineered to deliver faster failover—typically completing in under 30 seconds. Unlike standard RDS MySQL Multi-AZ, which relies on a single storage volume and must replay redo logs during crash recovery, Aurora uses a shared, distributed storage volume across multiple Availability Zones. This architecture allows the primary instance to fail over to a read replica almost instantly because the storage layer remains consistent and no redo log replay is needed. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your understanding of Aurora’s failover mechanics versus RDS Multi-AZ, and a common trap is assuming that simply enabling Multi-AZ on RDS will meet sub-30-second requirements. Memory tip: think “Aurora’s shared storage = no redo replay, so failover is speedy.”
DBS-C01 Workload-Specific Database Design Practice Question
This DBS-C01 practice question tests your understanding of workload-specific database design. 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 company has a critical application that uses Amazon RDS for MySQL with Multi-AZ deployment. During a recent failure, the automatic failover took 2 minutes, causing application timeout. The company needs to reduce failover time to under 30 seconds. Which solution should the database specialist recommend?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Migrate the database to Amazon Aurora MySQL.
Amazon Aurora MySQL is designed to reduce failover time significantly compared to standard RDS MySQL Multi-AZ. Aurora typically completes failover in under 30 seconds by using a shared distributed storage volume across multiple Availability Zones, allowing the primary instance to fail over to a read replica without the need to replay redo logs or perform crash recovery. This meets the requirement of reducing failover time to under 30 seconds.
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.
✓
Migrate the database to Amazon Aurora MySQL.
Why this is correct
Aurora has a distributed storage layer that allows faster failover.
Related concept
Read the scenario before looking for a memorised answer.
✗
Create a read replica and promote it during failover.
Why it's wrong here
Manual promotion takes time and does not provide automatic failover.
✗
Increase the DB instance class to a larger size.
Why it's wrong here
Instance size does not affect failover time.
✗
Implement Amazon RDS Proxy to handle connection draining.
Why it's wrong here
RDS Proxy reduces connection disruption but does not speed up failover.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think increasing instance size or using RDS Proxy directly reduces failover time, but failover time is dominated by crash recovery and log replay, not compute or connection management.
Detailed technical explanation
How to think about this question
Aurora's storage is a 6-replica quorum-based system spread across three Availability Zones, with continuous backup to S3. During failover, Aurora promotes one of the up-to-date read replicas to primary without needing to apply redo logs because the storage layer is shared and already consistent, achieving failover times of typically 10-20 seconds. In contrast, standard RDS MySQL Multi-AZ uses synchronous replication to a standby in another AZ, but failover requires the standby to replay any remaining redo logs, which can take minutes depending on transaction volume.
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.
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Migrate the database to Amazon Aurora MySQL. — Amazon Aurora MySQL is designed to reduce failover time significantly compared to standard RDS MySQL Multi-AZ. Aurora typically completes failover in under 30 seconds by using a shared distributed storage volume across multiple Availability Zones, allowing the primary instance to fail over to a read replica without the need to replay redo logs or perform crash recovery. This meets the requirement of reducing failover time to under 30 seconds.
What should I do if I get this DBS-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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