DBS-C01 Workload-Specific Database Design Practice Question
A team is migrating an on-premises Microsoft SQL Server database to AWS. The database is used for reporting and analytics, with complex queries that join multiple tables. The team wants to minimize application changes and ensure compatibility. Which AWS service should they use?
⚠ Common exam trap
It's easy for candidates to choose Amazon Redshift for analytics workloads, overlooking that the question emphasizes minimizing application changes and compatibility with an existing SQL Server database, which Redshift cannot provide due to its different SQL dialect and architecture.
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 RDS for SQL Server
Amazon RDS for SQL Server is the correct choice because it provides a managed SQL Server database engine that is fully compatible with on-premises SQL Server, minimizing application changes. The service supports complex queries with joins and reporting workloads without requiring code modifications, as it uses the same T-SQL dialect and features.
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 RDS for SQL Server
Why this is correct
RDS for SQL Server offers native compatibility, minimizing migration effort.
- ✗
Amazon RDS for MySQL
Why it's wrong here
MySQL is a different engine requiring application changes.
- ✗
Amazon Redshift
Why it's wrong here
Redshift is a data warehouse requiring schema redesign.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB is NoSQL and not suitable for complex joins.
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