DP-900 Practice Question: Describe considerations for working with non-relational data on Azure
This DP-900 practice question tests your understanding of describe considerations for working with non-relational data on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. A key principle to apply: azure Cosmos DB SQL API is the native API for JSON documents.. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company develops an IoT device registry that stores device metadata as JSON documents. Each device has a unique DeviceID, and the attributes vary per device type (e.g., sensors, actuators). The application requires low-latency reads by DeviceID and needs global distribution to support devices worldwide. Which Azure Cosmos DB API should they choose to natively support JSON documents with flexible schema?
The SQL API is the native JSON document API for Cosmos DB, offering rich querying and global distribution with low-latency point reads by ID.
B
Azure Cosmos DB Table API
Why wrong: The Table API is designed for key-value storage with a fixed schema (like Azure Table Storage), not for flexible JSON documents.
C
Azure Cosmos DB for MongoDB API
Why wrong: While MongoDB API can store JSON documents, it uses MongoDB wire protocol and does not fully leverage Cosmos DB native features like SQL querying and native integration.
D
Azure Cosmos DB Gremlin API
Why wrong: The Gremlin API is for graph data structures (nodes and edges), not for document storage.
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 SQL API
The Azure Cosmos DB SQL API (formerly DocumentDB) is the correct choice because it provides native support for storing and querying JSON documents with flexible schema, allowing each device document to have a unique DeviceID and varying attributes per device type. It offers low-latency reads by DeviceID via direct point reads using the partition key, and supports global distribution through multi-region writes and automatic replication, meeting the worldwide deployment requirement.
Key principle: Azure Cosmos DB SQL API is the native API for JSON documents.
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 Cosmos DB SQL API
Why this is correct
The SQL API is the native JSON document API for Cosmos DB, offering rich querying and global distribution with low-latency point reads by ID.
Related concept
Azure Cosmos DB SQL API is the native API for JSON documents.
✗
Azure Cosmos DB Table API
Why it's wrong here
The Table API is designed for key-value storage with a fixed schema (like Azure Table Storage), not for flexible JSON documents.
✗
Azure Cosmos DB for MongoDB API
Why it's wrong here
While MongoDB API can store JSON documents, it uses MongoDB wire protocol and does not fully leverage Cosmos DB native features like SQL querying and native integration.
✗
Azure Cosmos DB Gremlin API
Why it's wrong here
The Gremlin API is for graph data structures (nodes and edges), not for document storage.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose the MongoDB API because they associate JSON with MongoDB, but the SQL API is the native JSON document API in Cosmos DB and is the correct answer for 'natively support JSON documents with flexible schema' in the context of Azure Cosmos DB.
Detailed technical explanation
How to think about this question
Under the hood, the SQL API stores each JSON document as an item in a container, and the unique DeviceID is used as the partition key to enable efficient point reads with single-digit millisecond latency at any scale. The SQL API uses a resource model where each document is addressable via its self-link, and the query engine supports indexing all properties by default, allowing flexible schema without requiring predefined attributes. In a real-world scenario, a global IoT registry might use multi-region writes with conflict resolution policies to handle concurrent updates from devices in different regions, ensuring eventual consistency while maintaining low-latency reads.
KKey Concepts to Remember
Azure Cosmos DB SQL API is the native API for JSON documents.
It supports schema-agnostic data models, ideal for varying document structures.
Offers low-latency point reads by ID and rich SQL-like querying.
Provides native support for global distribution and multi-region writes.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Azure Cosmos DB SQL API is the native API for JSON documents.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Azure Cosmos DB SQL API is the native API for JSON documents. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Review azure Cosmos DB SQL API is the native API for JSON documents., then practise related DP-900 questions on the same topic to reinforce the concept.
Describe considerations for working with non-relational data on Azure — This question tests Describe considerations for working with non-relational data on Azure — Azure Cosmos DB SQL API is the native API for JSON documents..
What is the correct answer to this question?
The correct answer is: Azure Cosmos DB SQL API — The Azure Cosmos DB SQL API (formerly DocumentDB) is the correct choice because it provides native support for storing and querying JSON documents with flexible schema, allowing each device document to have a unique DeviceID and varying attributes per device type. It offers low-latency reads by DeviceID via direct point reads using the partition key, and supports global distribution through multi-region writes and automatic replication, meeting the worldwide deployment requirement.
What should I do if I get this DP-900 question wrong?
Review azure Cosmos DB SQL API is the native API for JSON documents., then practise related DP-900 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Azure Cosmos DB SQL API is the native API for JSON documents.
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