DP-203 Design and implement data storage Practice Question
A company is designing a data storage solution for a global application that requires low-latency reads and writes for user session data. The solution must support automatic failover across multiple Azure regions. Which TWO Azure services meet these requirements?
⚠ Common exam trap
Many candidates confuse Azure Cosmos DB's multi-region writes with the specific requirement for low-latency session data, but Cosmos DB, while supporting automatic failover, has higher latency than an in-memory cache like Redis for frequent, small reads and writes typical of session state.
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
✓
Azure Cache for Redis
Azure Cache for Redis is correct because it provides an in-memory data store with sub-millisecond latency for both reads and writes, making it ideal for user session data. It supports automatic failover across Azure regions through geo-replication, where data from a primary cache is asynchronously replicated to a secondary cache in a paired region, ensuring high availability and disaster recovery.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure Table Storage
Why it's wrong here
Does not provide automatic cross-region failover.
- ✓
Azure Cache for Redis
Why this is correct
Supports geo-replication and automatic failover.
- ✗
Azure Blob Storage
Why it's wrong here
Does not support low-latency writes for session data.
- ✓
Azure Cosmos DB
Why this is correct
Supports multi-region writes and automatic failover.
- ✗
Azure SQL Database
Why it's wrong here
Does not support automatic multi-region failover without additional configuration.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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