DBS-C01 Workload-Specific Database Design Practice Question
A company is designing a document database for a content management system using Amazon DocumentDB. The application requires high availability and low-latency reads across multiple AWS Regions. Which TWO design choices meet these requirements?
⚠ Common exam trap
Test-takers frequently confuse Amazon DocumentDB's global cluster feature with DynamoDB global tables or assume that sharding across clusters is necessary for cross-region reads, when DocumentDB's native global cluster provides a simpler and more performant solution.
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
✓
Configure read replicas in each region to offload read traffic.
Amazon DocumentDB read replicas can be placed in different AWS Regions to offload read traffic and provide low-latency reads locally. Option D is correct because a global cluster in DocumentDB replicates data from a primary region to secondary regions, enabling high availability and low-latency reads across regions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Configure read replicas in each region to offload read traffic.
Why this is correct
Read replicas provide additional read capacity with low latency.
- ✗
Use a single instance in each region with Multi-AZ disabled.
Why it's wrong here
Single instance lacks high availability within a region.
- ✗
Use local secondary indexes to improve query performance in each region.
Why it's wrong here
Local secondary indexes are within a region, not affecting cross-region reads.
- ✓
Deploy a global cluster with a primary region and secondary regions for read workloads.
Why this is correct
Global clusters replicate data across regions and support local reads.
- ✗
Shard the data across multiple clusters in different regions.
Why it's wrong here
DocumentDB does not natively support sharding.
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