Describe considerations for working with non-relational data on Azure →easyMultiple ChoiceObjective-mapped
DP-900 Practice Question: Describe considerations for working with non-relational data on Azure
You need to store JSON documents for a web application that requires low-latency reads and writes globally. The data has no fixed schema. Which Azure service should you use?
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
Azure Cosmos DB is a globally distributed, multi-model database that natively supports JSON documents with low-latency reads and writes. Option A is wrong because Azure Table Storage is a key-value store, not ideal for complex JSON queries. Option B is wrong because Azure Blob Storage is not optimized for low-latency document queries. Option C is wrong because Azure SQL Database is relational and requires a fixed schema.
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
Azure Table Storage is a key-value store, not ideal for complex JSON queries.
- ✗
Azure Blob Storage
Why it's wrong here
Azure Blob Storage is not optimized for low-latency document queries.
- ✗
Azure SQL Database
Why it's wrong here
Azure SQL Database is relational and requires a fixed schema.
- ✓
Azure Cosmos DB
Why this is correct
Azure Cosmos DB is a globally distributed, multi-model database that natively supports JSON documents with low-latency reads and writes.
Quick reference
Azure Blob Storage Tier Comparison
| Tier | Storage Cost | Retrieval Cost | Latency | Use Case |
|---|---|---|---|---|
| Hot | Highest | Lowest | Immediate | Active data, frequent reads |
| Cool | Lower | Higher | Immediate | Data accessed < once / month |
| Cold | Lower still | Higher | Immediate | Data accessed < once / quarter |
| Archive | Lowest | Highest + rehydration delay | Hours | Long-term compliance retention |
Go deeper
Related to this question
Learn chapter
Data Roles and Core Concepts
Key term
Table
A table is a structured collection of data organized into rows and columns, used in databases and spreadsheets to store and manage information efficiently.
Key term
Schema
A schema is a blueprint or logical structure that defines how data is organized, stored, and accessed in a database or information system.
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Senior Network & Security Engineer · founder of Courseiva
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