- A
Azure Cosmos DB
Correct. Cosmos DB is a NoSQL database that supports schema-flexible JSON documents and provides fast queries on any attribute, ideal for product catalogs with varying attributes.
- B
Azure SQL Database
Why wrong: Incorrect. Azure SQL Database is a relational database that requires a fixed schema. While it can store JSON, it is not optimized for highly variable attributes across different product categories.
- C
Azure Blob Storage
Why wrong: Incorrect. Blob Storage is an object store for unstructured data like images and videos. It does not provide query capabilities for individual JSON attributes without additional services.
- D
Azure Table Storage
Why wrong: Incorrect. Azure Table Storage is a NoSQL key-value store suitable for simple lookups, but it does not support complex queries like filtering by multiple attributes (category and price range) efficiently.
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. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 retail company stores product catalog data as JSON documents. Each product has a different set of attributes depending on its category (e.g., electronics have 'voltage', clothing has 'size'). The application needs to query products by category and price range efficiently. Which Azure data store is most appropriate for this workload?
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 JSON documents with flexible schemas, enabling each product to have a different set of attributes per category. Its indexing policies can be configured to efficiently support queries filtering by category and price range, and it offers low-latency, high-throughput access ideal for retail catalog workloads.
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
Why this is correct
Correct. Cosmos DB is a NoSQL database that supports schema-flexible JSON documents and provides fast queries on any attribute, ideal for product catalogs with varying attributes.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure SQL Database
Why it's wrong here
Incorrect. Azure SQL Database is a relational database that requires a fixed schema. While it can store JSON, it is not optimized for highly variable attributes across different product categories.
- ✗
Azure Blob Storage
Why it's wrong here
Incorrect. Blob Storage is an object store for unstructured data like images and videos. It does not provide query capabilities for individual JSON attributes without additional services.
- ✗
Azure Table Storage
Why it's wrong here
Incorrect. Azure Table Storage is a NoSQL key-value store suitable for simple lookups, but it does not support complex queries like filtering by multiple attributes (category and price range) efficiently.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Azure SQL Database because they assume all structured data requires a relational store, overlooking the fact that JSON documents with varying schemas are better served by a NoSQL document database like Cosmos DB.
Detailed technical explanation
How to think about this question
Azure Cosmos DB uses a schema-agnostic indexing engine that automatically indexes every property of a JSON document by default, allowing efficient range queries on fields like price even when documents have heterogeneous structures. The API for MongoDB or SQL API can be used to issue queries such as SELECT * FROM c WHERE c.category = 'electronics' AND c.price BETWEEN 10 AND 100, leveraging a composite index on (category, price) for optimal performance. In a real-world scenario, a retail company might also use Cosmos DB's change feed to trigger downstream analytics or cache invalidation when product attributes are updated.
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.
- →
Describe considerations for working with non-relational data on Azure — study guide chapter
Learn the concepts, then practise the questions
- →
Describe considerations for working with non-relational data on Azure practice questions
Targeted practice on this topic area only
- →
All DP-900 questions
982 questions across all exam domains
- →
Microsoft Azure Data Fundamentals DP-900 study guide
Full concept coverage aligned to exam objectives
- →
DP-900 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related DP-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Describe core data concepts practice questions
Practise DP-900 questions linked to Describe core data concepts.
Describe an analytics workload on Azure practice questions
Practise DP-900 questions linked to Describe an analytics workload on Azure.
Identify considerations for relational data on Azure practice questions
Practise DP-900 questions linked to Identify considerations for relational data on Azure.
Describe considerations for working with non-relational data on Azure practice questions
Practise DP-900 questions linked to Describe considerations for working with non-relational data on Azure.
DP-900 fundamentals practice questions
Practise DP-900 questions linked to DP-900 fundamentals.
DP-900 scenario practice questions
Practise DP-900 questions linked to DP-900 scenario.
DP-900 troubleshooting practice questions
Practise DP-900 questions linked to DP-900 troubleshooting.
Practice this exam
Start a free DP-900 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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 JSON documents with flexible schemas, enabling each product to have a different set of attributes per category. Its indexing policies can be configured to efficiently support queries filtering by category and price range, and it offers low-latency, high-throughput access ideal for retail catalog workloads.
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 →
Last reviewed: Jun 11, 2026
This DP-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-900 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.