Question 656 of 982

Describe considerations for working with non-relational data on Azure →mediumMultiple ChoiceObjective-mapped

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 social media application stores user profile data as JSON documents. Each user's document has a different structure, with fields that vary based on user activity. The application needs to query these documents efficiently using SQL-like syntax and support high write throughput. Which Azure data store is most appropriate for this workload?

Question 1mediummultiple choice

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A
Azure SQL Database
Why wrong: Azure SQL Database is a relational database requiring a fixed schema. While it can store JSON, it is not optimized for highly variable document structures and may require schema changes.
B
Azure Blob Storage
Why wrong: Azure Blob Storage is designed for unstructured binary data such as images or videos. It does not provide built-in querying capabilities for JSON content stored within blobs.
C
Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model NoSQL database that supports JSON documents natively. It allows flexible schemas, SQL-like querying, and high throughput, making it ideal for this scenario.
D
Azure Table Storage
Why wrong: Azure Table Storage is a key-value store that stores entities with a fixed set of properties. It is not suitable for deeply nested or variable JSON documents and lacks native querying for complex structures.

Full breakdown with real-world context →

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 the most appropriate choice because it natively supports storing and querying JSON documents with varying schemas, offers SQL-like query syntax via its core (SQL) API, and provides guaranteed low-latency reads/writes at any scale with automatic indexing of all fields. Its multi-model nature and configurable consistency levels make it ideal for high-throughput workloads like a social media application.

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 SQL Database
Why it's wrong here
Azure SQL Database is a relational database requiring a fixed schema. While it can store JSON, it is not optimized for highly variable document structures and may require schema changes.
✗
Azure Blob Storage
Why it's wrong here
Azure Blob Storage is designed for unstructured binary data such as images or videos. It does not provide built-in querying capabilities for JSON content stored within blobs.
✓
Azure Cosmos DB
Why this is correct
Azure Cosmos DB is a globally distributed, multi-model NoSQL database that supports JSON documents natively. It allows flexible schemas, SQL-like querying, and high throughput, making it ideal for this scenario.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Table Storage
Why it's wrong here
Azure Table Storage is a key-value store that stores entities with a fixed set of properties. It is not suitable for deeply nested or variable JSON documents and lacks native querying for complex structures.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse Azure Table Storage's key-value capabilities with document database features, overlooking that Table Storage does not support JSON documents, nested fields, or SQL-like queries, whereas Cosmos DB is explicitly designed for such workloads.

Detailed technical explanation

How to think about this question

Under the hood, Azure Cosmos DB uses a resource-governed, index-any approach where every property in a JSON document is automatically indexed by default, enabling efficient SQL-like queries (e.g., SELECT * FROM c WHERE c.activity = 'post') without manual index management. It achieves high write throughput by partitioning data across physical partitions based on a user-chosen partition key, allowing horizontal scaling to millions of requests per second. A subtle behavior is that the RU (Request Unit) cost of a write operation depends on the document size and the number of indexed paths, so overly large or deeply nested documents can increase costs unexpectedly.

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

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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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 — Azure Cosmos DB is the most appropriate choice because it natively supports storing and querying JSON documents with varying schemas, offers SQL-like query syntax via its core (SQL) API, and provides guaranteed low-latency reads/writes at any scale with automatic indexing of all fields. Its multi-model nature and configurable consistency levels make it ideal for high-throughput workloads like a social media application.

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.

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