- A
Implement manual sharding across multiple Aurora clusters
Why wrong: Sharding requires application changes.
- B
Add more read replicas to offload read traffic
Why wrong: Read replicas do not help with write contention.
- C
Use a larger instance type with higher IOPS
Why wrong: Vertical scaling may improve throughput but does not reduce contention or deadlocks.
- D
Enable Aurora Multi-Master to allow multiple write nodes
Multi-Master allows concurrent writes, reducing contention.
Quick Answer
The answer is to enable Aurora Multi-Master to allow multiple write nodes. This is the most effective strategy because a Multi-Master cluster directly addresses write contention by permitting multiple Aurora instances to concurrently perform write operations on the same data, thereby distributing the write load and reducing lock contention and deadlocks on tables like 'orders' during flash sales. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your understanding that Aurora Multi-Master is the only native, application-transparent solution for reducing write contention without code changes, as read replicas only scale reads and sharding requires application-level logic. A common trap is assuming vertical scaling alone solves contention, but it does not eliminate the single-writer bottleneck. Memory tip: think of Multi-Master as "multiple pens writing the same notebook at once" — it spreads the pressure, while a single master is one pen causing a queue.
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 uses Amazon Aurora MySQL-Compatible Edition for its e-commerce platform. During flash sales, the database experiences high write contention on the 'orders' table, causing slow inserts and deadlocks. The development team wants to reduce contention without changing the application code. Which database design strategy is MOST effective?
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
Enable Aurora Multi-Master to allow multiple write nodes
Option D is correct because using Aurora Auto Scaling with a Multi-Master cluster allows multiple writers to handle writes concurrently, reducing contention. Option A is wrong because read replicas are for read scaling, not write. Option B is wrong because vertical scaling may help but does not address write contention. Option C is wrong because sharding requires application changes.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Implement manual sharding across multiple Aurora clusters
Why it's wrong here
Sharding requires application changes.
- ✗
Add more read replicas to offload read traffic
Why it's wrong here
Read replicas do not help with write contention.
- ✗
Use a larger instance type with higher IOPS
Why it's wrong here
Vertical scaling may improve throughput but does not reduce contention or deadlocks.
- ✓
Enable Aurora Multi-Master to allow multiple write nodes
Why this is correct
Multi-Master allows concurrent writes, reducing contention.
Related concept
Static NAT maps one inside address to one outside address.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. 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.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
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Workload-Specific Database Design — study guide chapter
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Enable Aurora Multi-Master to allow multiple write nodes — Option D is correct because using Aurora Auto Scaling with a Multi-Master cluster allows multiple writers to handle writes concurrently, reducing contention. Option A is wrong because read replicas are for read scaling, not write. Option B is wrong because vertical scaling may help but does not address write contention. Option C is wrong because sharding requires application changes.
What should I do if I get this DBS-C01 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DBS-C01 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 20, 2026
This DBS-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 DBS-C01 exam.
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