The answer is Amazon RDS Proxy, which reduces deadlocks in Aurora MySQL by pooling and reusing database connections to minimize connection churn and resource contention. When multiple transactions compete for locks under high connection turnover, deadlocks become more frequent; RDS Proxy mitigates this by maintaining a stable pool of connections, lowering the probability of concurrent conflicting locks without requiring any application changes. On the AWS Certified Database Specialty DBS-C01 exam, this tests your understanding of how connection management impacts locking behavior—a common trap is assuming you must rewrite transactions or change isolation levels, but the proxy handles it transparently. Remember the memory tip: “Proxy pools, deadlock cools”—the proxy’s connection pooling directly cools the contention that fuels deadlocks.
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 is migrating a MySQL database to Amazon Aurora MySQL. The current database uses multi-statement transactions with read committed isolation level. The application frequently encounters deadlocks on the source database. Which Aurora MySQL feature can help reduce deadlocks without application changes?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Amazon RDS Proxy to pool and share database connections.
RDS Proxy helps reduce deadlocks by pooling and reusing database connections, which minimizes the overhead of establishing new connections and reduces contention on database resources. In MySQL, deadlocks often occur when multiple transactions compete for the same resources under high connection churn; by maintaining a stable pool of connections, RDS Proxy lowers the probability of concurrent conflicting locks. Since the proxy is transparent to the application, no code changes are required to benefit from this behavior.
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.
✗
Use Amazon Aurora Auto Scaling to automatically adjust the number of replicas.
Why it's wrong here
Auto Scaling handles read traffic, not deadlocks.
✗
Use Amazon Aurora Global Database to replicate data to multiple regions.
Why it's wrong here
Global Database is for disaster recovery, not deadlock reduction.
✓
Use Amazon RDS Proxy to pool and share database connections.
Why this is correct
RDS Proxy reduces connection contention and can help reduce deadlocks.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Amazon Aurora Backtrack to quickly revert transactions.
Why it's wrong here
Backtrack recovers from unintended changes, but does not prevent deadlocks.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse deadlock reduction with high-availability or disaster-recovery features, mistakenly thinking that scaling replicas (Auto Scaling) or global replication (Global Database) can resolve concurrency conflicts, when in fact the key is connection management and reducing lock contention.
Detailed technical explanation
How to think about this question
RDS Proxy maintains a warm pool of connections to the Aurora cluster and multiplexes application connections over them, reducing the total number of concurrent sessions and thus the likelihood of lock conflicts. Under the hood, the proxy uses MySQL's `thread pool` and connection multiplexing to avoid the overhead of frequent `connect`/`disconnect` cycles, which are a common source of deadlocks in read-committed isolation due to gap locks and next-key locks. In a real-world scenario, an application with hundreds of short-lived connections hitting the same rows can trigger deadlocks; RDS Proxy smooths this by reusing a smaller set of persistent connections.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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: Use Amazon RDS Proxy to pool and share database connections. — RDS Proxy helps reduce deadlocks by pooling and reusing database connections, which minimizes the overhead of establishing new connections and reduces contention on database resources. In MySQL, deadlocks often occur when multiple transactions compete for the same resources under high connection churn; by maintaining a stable pool of connections, RDS Proxy lowers the probability of concurrent conflicting locks. Since the proxy is transparent to the application, no code changes are required to benefit from this behavior.
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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