SAP-C02 Design for New Solutions Practice Question
A company is designing a new microservices architecture on AWS. Each microservice must store its own data and communicate with other services via RESTful APIs. The company wants to minimize operational overhead. Which data store should the company use for each microservice?
⚠ Common exam trap
A common mix-up: candidates choose Amazon RDS for PostgreSQL because they assume relational databases are required for structured data, but the question emphasizes minimizing operational overhead, and DynamoDB's serverless, fully managed nature eliminates the need for schema management, scaling, and patching that RDS still requires.
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
✓
Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL key-value and document database that provides single-digit millisecond latency at any scale, making it ideal for microservices that need to store their own data and communicate via RESTful APIs. It requires no operational overhead for scaling, patching, or replication, and its pay-per-request billing aligns with the unpredictable traffic patterns common in microservices architectures.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon ElastiCache for Redis
Why it's wrong here
ElastiCache is a caching service, not intended for durable data storage.
- ✗
Amazon Redshift
Why it's wrong here
Redshift is a petabyte-scale data warehouse, not designed for microservices data stores.
- ✗
Amazon RDS for PostgreSQL
Why it's wrong here
RDS is a managed service but still requires manual scaling and patching, adding overhead.
- ✓
Amazon DynamoDB
Why this is correct
DynamoDB is fully managed, serverless, and scales automatically, ideal for microservices.
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