- A
Use Aurora Serverless for tenants with variable workloads
Aurora Serverless automatically scales compute capacity based on workload, minimizing impact on other tenants.
- B
Use a single Aurora cluster with read replicas for each tenant
Why wrong: Read replicas only offload read traffic; write traffic still hits the primary instance, causing contention.
- C
Migrate all tenants to Amazon DynamoDB and use DynamoDB Accelerator (DAX) for caching
Why wrong: DynamoDB is a different database model and may not fit relational workloads.
- D
Use Amazon RDS Proxy to pool connections and limit throughput per tenant
Why wrong: RDS Proxy manages connections but does not provide workload isolation.
- E
Use separate Aurora clusters for high-traffic tenants
Separate clusters provide complete resource isolation, preventing noisy neighbor issues.
Quick Answer
The answer is to use separate Aurora clusters for high-traffic tenants and to leverage Aurora Serverless for tenants with variable workloads. This approach directly isolates noisy neighbor in multi-tenant Aurora MySQL by physically partitioning heavy write traffic onto dedicated clusters, preventing resource contention such as I/O bursts or buffer pool thrashing from degrading performance for smaller tenants. On the AWS Certified Database Specialty DBS-C01 exam, this scenario tests your understanding of multi-tenant isolation patterns—specifically the trade-off between shared infrastructure cost and performance predictability. A common trap is assuming that a single Aurora cluster with multiple databases can handle all tenants equally, but the exam emphasizes that Aurora’s shared storage and instance resources mean one tenant’s write-heavy workload can starve others. Memory tip: think “heavy hitters get their own cluster” to recall that physical separation, not just logical database separation, is required for true noisy neighbor mitigation.
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 designing a multi-tenant SaaS application on Amazon Aurora MySQL. Each tenant has its own database, but some tenants are very large and generate high write traffic. The company wants to isolate tenant workloads to prevent a noisy neighbor from affecting other tenants. Which TWO design strategies should the database specialist recommend?
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
Use Aurora Serverless for tenants with variable workloads
Option A is correct because Aurora Serverless automatically scales compute capacity based on application demand, which is ideal for tenants with variable workloads. This prevents a noisy neighbor scenario by ensuring that a tenant's burst of write traffic does not consume shared resources that would degrade performance for other tenants.
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 Aurora Serverless for tenants with variable workloads
Why this is correct
Aurora Serverless automatically scales compute capacity based on workload, minimizing impact on other tenants.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a single Aurora cluster with read replicas for each tenant
Why it's wrong here
Read replicas only offload read traffic; write traffic still hits the primary instance, causing contention.
- ✗
Migrate all tenants to Amazon DynamoDB and use DynamoDB Accelerator (DAX) for caching
Why it's wrong here
DynamoDB is a different database model and may not fit relational workloads.
- ✗
Use Amazon RDS Proxy to pool connections and limit throughput per tenant
Why it's wrong here
RDS Proxy manages connections but does not provide workload isolation.
- ✓
Use separate Aurora clusters for high-traffic tenants
Why this is correct
Separate clusters provide complete resource isolation, preventing noisy neighbor issues.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse connection pooling (RDS Proxy) with resource isolation, not realizing that RDS Proxy only manages connections and does not prevent a noisy neighbor from exhausting the cluster's shared I/O or CPU capacity.
Detailed technical explanation
How to think about this question
Aurora Serverless uses a warm pool of resources and scales based on ACU (Aurora Capacity Units) with a 1-minute cooldown to avoid rapid scaling oscillations. For high-traffic tenants, separate Aurora clusters provide full resource isolation at the instance and storage layer, ensuring that one tenant's write-heavy workload cannot impact the performance of others, even at the cluster level. This approach aligns with the multi-tenant isolation pattern where tenants are mapped to dedicated clusters based on their resource consumption profile.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
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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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Aurora Serverless for tenants with variable workloads — Option A is correct because Aurora Serverless automatically scales compute capacity based on application demand, which is ideal for tenants with variable workloads. This prevents a noisy neighbor scenario by ensuring that a tenant's burst of write traffic does not consume shared resources that would degrade performance for other tenants.
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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Last reviewed: Jun 11, 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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