- A
Azure Cosmos DB with the NoSQL API
Cosmos DB provides document storage with flexible schema, indexing, and low-latency reads. It supports secondary indexes on arbitrary fields like UserID and timestamp.
- B
Azure Table Storage
Why wrong: Table Storage is a key-value store and does not natively support JSON documents or secondary indexing. Querying by UserID would require a table scan unless UserID is the partition key.
- C
Azure Blob Storage
Why wrong: Blob storage is for large binary or text files. It does not support querying at the record level or indexing. Retrieving individual sessions would require scanning all blobs.
- D
Azure Cache for Redis
Why wrong: Redis is an in-memory cache, not a durable data store. It does not support complex queries or secondary indexing natively.
Quick Answer
The answer is Azure Cosmos DB with the NoSQL API because it is a fully managed, globally distributed NoSQL database that natively supports flexible, schemaless JSON documents and automatic secondary indexing. This allows the mobile game to store varying game event schemas without schema migrations, achieve low-latency point reads by SessionID as the partition key, and efficiently query all sessions for a UserID within a time range using secondary indexes. On the DP-900 exam, this scenario tests your understanding of when to choose Cosmos DB over relational stores like Azure SQL Database or other NoSQL options like Table Storage—the key trap is picking a relational database that requires fixed schemas. Remember the memory tip: “Flexible JSON, global reach, secondary index for each” ties directly to Cosmos DB NoSQL’s ability to handle evolving schemas and cross-partition queries.
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. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. 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 mobile game developer needs to store player session data. Each session has a unique SessionID, a UserID, a start timestamp, an end timestamp, and a collection of game events (each event is a JSON object). The application requires low-latency point reads by SessionID and the ability to query all sessions for a given UserID within a time range. The schema of game events can vary between sessions (e.g., new event types added frequently). The developer wants a fully managed NoSQL database that supports flexible schemas and secondary indexing. Which Azure data store should they choose?
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 the NoSQL API
Azure Cosmos DB with the NoSQL API is the correct choice because it provides a fully managed, globally distributed NoSQL database with native support for flexible schemas (schemaless JSON documents), low-latency point reads by partition key (SessionID), and automatic secondary indexing for querying by UserID within a time range. Its ability to handle varying game event schemas without schema migrations makes it ideal for this use case.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 with the NoSQL API
Why this is correct
Cosmos DB provides document storage with flexible schema, indexing, and low-latency reads. It supports secondary indexes on arbitrary fields like UserID and timestamp.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure Table Storage
Why it's wrong here
Table Storage is a key-value store and does not natively support JSON documents or secondary indexing. Querying by UserID would require a table scan unless UserID is the partition key.
- ✗
Azure Blob Storage
Why it's wrong here
Blob storage is for large binary or text files. It does not support querying at the record level or indexing. Retrieving individual sessions would require scanning all blobs.
- ✗
Azure Cache for Redis
Why it's wrong here
Redis is an in-memory cache, not a durable data store. It does not support complex queries or secondary indexing natively.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Table Storage with a fully queryable NoSQL database, but it lacks secondary indexing and complex query support, making it unsuitable for time-range queries on non-key fields.
Detailed technical explanation
How to think about this question
Under the hood, Azure Cosmos DB uses a resource-governed, latch-free write-optimized engine with automatic indexing of all properties by default, enabling efficient range queries on timestamps when combined with a composite index. The choice of partition key is critical: using SessionID ensures fast point reads, but to efficiently query by UserID across sessions, a secondary index on UserID must be created, and the time-range filter can leverage the index on the timestamp property. In a real-world scenario, the developer could also implement a change feed to process game events asynchronously for analytics without impacting write performance.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
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
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Questions learners often ask
What does this DP-900 question test?
Describe considerations for working with non-relational data on Azure — This question tests Describe considerations for working with non-relational data on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Cosmos DB with the NoSQL API — Azure Cosmos DB with the NoSQL API is the correct choice because it provides a fully managed, globally distributed NoSQL database with native support for flexible schemas (schemaless JSON documents), low-latency point reads by partition key (SessionID), and automatic secondary indexing for querying by UserID within a time range. Its ability to handle varying game event schemas without schema migrations makes it ideal for this use case.
What should I do if I get this DP-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
3 more ways this is tested on DP-900
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You are designing a solution to store customer preferences as key-value pairs. The data will be accessed frequently and must support high availability across multiple Azure regions. The solution should minimize management overhead. Which Azure service should you use?
medium- A.Azure SQL Database
- B.Azure Cache for Redis
- ✓ C.Azure Cosmos DB
- D.Azure Queue Storage
Why C: Azure Cosmos DB provides global distribution, high availability, and low-latency access for key-value data with minimal management. Option A is wrong because Azure Cache for Redis is a cache, not a durable store. Option C is wrong because Azure SQL Database is relational and overkill. Option D is wrong because Azure Storage Queue is for messaging.
Variation 2. You need to store JSON documents that are frequently read and written by a web application. Each document is about 10 KB. The solution must provide low-latency access globally. Which Azure data store should you use?
easy- ✓ A.Azure Cosmos DB
- B.Azure Blob Storage
- C.Azure SQL Database
- D.Azure Table Storage
Why A: Azure Cosmos DB is a globally distributed NoSQL database that supports JSON documents and provides low-latency access. Option A is wrong because Blob Storage is object storage, not optimized for individual document reads/writes. Option B is wrong because Table Storage is for key-value data. Option D is wrong because SQL Database is relational.
Variation 3. Your team needs to store JSON documents that require schema flexibility and global distribution. Which Azure data store should you choose?
easy- A.Azure Table Storage
- B.Azure SQL Database
- C.Azure Blob Storage
- ✓ D.Azure Cosmos DB
Why D: Option B is correct because Azure Cosmos DB is a globally distributed NoSQL database that natively supports JSON documents with flexible schema. Option A is wrong because Azure SQL Database is relational and enforces schema. Option C is wrong because Blob Storage stores unstructured data but does not provide a query interface for JSON documents. Option D is wrong because Table Storage is for key-value data, not document storage.
Last reviewed: Jun 11, 2026
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