DP-203 Design and implement data storage Practice Question
A logistics company needs to store delivery tracking data that is updated frequently by multiple services. The solution must support transactions across multiple documents and provide real-time analytics. Which Azure service should you recommend?
⚠ Common exam trap
Watch out — candidates often confuse Azure Table Storage's single-entity transactions with multi-document support, or mistakenly think Azure Data Lake Storage Gen2 can handle transactional updates, when it is designed for append-heavy, analytical workloads.
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 Cosmos DB with SQL API
Azure Cosmos DB with SQL API is the correct choice because it provides multi-document transaction support (ACID within a logical partition) and real-time analytics via its change feed and integrated analytical store. This meets the requirement for frequent updates from multiple services while enabling low-latency reads for analytics, unlike other Azure storage options that lack transactional guarantees across documents or real-time query capabilities.
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
Table Storage does not support multi-document transactions.
- ✓
Azure Cosmos DB with SQL API
Why this is correct
Cosmos DB supports transactions via stored procedures and analytical store for analytics.
- ✗
Azure Data Lake Storage Gen2
Why it's wrong here
Data Lake Storage is not designed for transactional updates.
- ✗
Azure Service Bus
Why it's wrong here
Service Bus is a message broker, not a data store.
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