The answer is to use a separate Amazon RDS instance for each microservice. This is correct because the microservices separate database per service pattern enforces loose coupling, independent scaling, and fault isolation—each service owns its data and schema, preventing a single relational database from becoming a bottleneck or single point of failure. On the AWS Certified Solutions Architect Professional SAP-C02 exam, this scenario tests your understanding of the database-per-service pattern versus shared-database anti-patterns; a common trap is choosing a single, large RDS Multi-AZ instance, which reduces operational overhead but violates service autonomy and creates tight coupling. Remember that microservices demand data sovereignty, so think “one service, one database” to avoid the shared-database trap. A useful memory tip: “Isolate to scale—separate RDS per tale.”
SAP-C02 Design for New Solutions Practice Question
This SAP-C02 practice question tests your understanding of design for new solutions. 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 monolithic application to a microservices architecture on AWS. The application uses a relational database with complex queries. The company wants to reduce operational overhead and achieve high availability. Which database strategy should the company adopt for the microservices?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a separate Amazon RDS instance for each microservice
Option B is correct because a microservices architecture requires database isolation to ensure loose coupling, independent scaling, and fault isolation. Using a separate Amazon RDS instance for each microservice allows each team to manage its own schema, optimize queries independently, and avoid a single point of failure, which aligns with the goal of reducing operational overhead and achieving high availability.
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 RDS Proxy with a single database
Why it's wrong here
RDS Proxy does not address the shared database coupling.
✓
Use a separate Amazon RDS instance for each microservice
Read the scenario before looking for a memorised answer.
✗
Use Amazon DynamoDB for all microservices
Why it's wrong here
DynamoDB may not support complex relational queries.
✗
Use a single Amazon RDS instance shared across all microservices
Why it's wrong here
Shared database creates tight coupling and scaling issues.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume a single shared database (Option D) is simpler and sufficient for high availability, overlooking the critical microservices principle of decentralized data management and the operational overhead of tight coupling.
Detailed technical explanation
How to think about this question
Under the hood, the database-per-service pattern ensures that each microservice owns its data and communicates only via APIs, preventing schema coupling and enabling independent deployment. In practice, this allows each RDS instance to be tuned for its specific workload (e.g., read replicas for read-heavy services, Multi-AZ for high availability) without affecting other services, and it aligns with the strangler fig pattern for gradual migration from a monolithic database.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Design for New Solutions — This question tests Design for New Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a separate Amazon RDS instance for each microservice — Option B is correct because a microservices architecture requires database isolation to ensure loose coupling, independent scaling, and fault isolation. Using a separate Amazon RDS instance for each microservice allows each team to manage its own schema, optimize queries independently, and avoid a single point of failure, which aligns with the goal of reducing operational overhead and achieving high availability.
What should I do if I get this SAP-C02 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.
About these practice questions
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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is migrating a monolithic application to a microservices architecture on AWS. The application uses a relational database with complex queries. The team wants to decouple the database layer and allow each microservice to own its data. Which design pattern should the team implement?
hard
A.Implement an event-driven architecture using Amazon SQS and AWS Lambda with CQRS.
B.Deploy a read replica of the database for each microservice to offload queries.
C.Use a single Amazon RDS instance with multiple schemas for each microservice.
✓ D.Use a database-per-service pattern with each microservice having its own Amazon DynamoDB table or RDS instance.
Why D: Option D is correct because the database-per-service pattern ensures each microservice has its own database, promoting loose coupling and independent scaling. Option A is wrong because a shared database contradicts the goal of decoupling. Option B is wrong because an event-driven architecture with CQRS is a separate pattern for query optimization. Option C is wrong because a read replica does not decouple the database per service.
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This SAP-C02 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 SAP-C02 exam.
Question Discussion
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