- A
Azure Blob Storage for videos and Azure Cosmos DB for metadata
Correct. Blob Storage handles large video files efficiently, while Cosmos DB provides fast, indexed querying on flexible JSON metadata.
- B
Azure Blob Storage for both videos and metadata
Why wrong: Incorrect. While Blob Storage can store metadata as files, it does not support querying by tags or attributes directly without a separate indexing service.
- C
Azure Cosmos DB for videos and Azure Table Storage for metadata
Why wrong: Incorrect. Cosmos DB has a 2 MB document size limit, making it unsuitable for large video files. Table Storage lacks advanced querying for JSON tags.
- D
Azure Files for videos and Azure SQL Database for metadata
Why wrong: Incorrect. Azure Files is a file share service not optimized for streaming large videos globally. SQL Database requires a fixed schema, complicating management of varying JSON tags.
Quick Answer
The correct combination is Azure Blob Storage for video files and Azure Cosmos DB for metadata. Blob Storage is purpose-built for storing large binary objects like video files, enabling high-throughput streaming via HTTP/HTTPS and seamless integration with a CDN for low-latency global delivery, while Cosmos DB offers single-digit millisecond read and write latencies with automatic indexing, making it ideal for quickly querying JSON metadata by tag using SQL or MongoDB API. On the DP-900 exam, this scenario tests your understanding of matching Azure services to specific workload requirements—a common trap is choosing a single service like SQL Database for both, which fails for large binary storage. Remember the separation of concerns: blobs for raw media, document DB for structured metadata. A useful memory tip is "Blobs for bytes, Cosmos for queries"—if it’s a big file, think Blob; if it’s a searchable document, think Cosmos.
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 media company stores large video files and associated metadata (title, duration, tags) as JSON documents. The application requires low-latency streaming of videos to users worldwide and the ability to quickly query metadata by tag. Which combination of Azure services should the company 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 Blob Storage for videos and Azure Cosmos DB for metadata
Azure Blob Storage is optimized for storing large binary objects like video files, offering high-throughput streaming via HTTP/HTTPS and integration with CDN for low-latency global delivery. Azure Cosmos DB provides single-digit millisecond read and write latencies with automatic indexing, making it ideal for quickly querying JSON metadata by tag using SQL or MongoDB API. This combination separates storage concerns (blobs for raw video, document DB for structured metadata) to meet both streaming and query performance requirements.
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 Blob Storage for videos and Azure Cosmos DB for metadata
Why this is correct
Correct. Blob Storage handles large video files efficiently, while Cosmos DB provides fast, indexed querying on flexible JSON metadata.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure Blob Storage for both videos and metadata
Why it's wrong here
Incorrect. While Blob Storage can store metadata as files, it does not support querying by tags or attributes directly without a separate indexing service.
- ✗
Azure Cosmos DB for videos and Azure Table Storage for metadata
Why it's wrong here
Incorrect. Cosmos DB has a 2 MB document size limit, making it unsuitable for large video files. Table Storage lacks advanced querying for JSON tags.
- ✗
Azure Files for videos and Azure SQL Database for metadata
Why it's wrong here
Incorrect. Azure Files is a file share service not optimized for streaming large videos globally. SQL Database requires a fixed schema, complicating management of varying JSON tags.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume a single service (like Blob Storage or Cosmos DB) can handle both data types, but the exam tests understanding that each Azure service has specific strengths—blobs for large binary objects and Cosmos DB for low-latency document queries—and that mixing them is the correct architectural pattern.
Detailed technical explanation
How to think about this question
Azure Blob Storage supports streaming via range requests (HTTP Range header) and can be paired with Azure CDN or Azure Front Door for edge caching, reducing latency for global users. Azure Cosmos DB automatically indexes all properties in JSON documents by default, enabling efficient tag queries with point reads or queries using the SQL API (e.g., SELECT * FROM c WHERE c.tags CONTAINS 'sports'). The separation also allows independent scaling: blob storage can be optimized for throughput (e.g., premium block blobs for high-bandwidth streaming), while Cosmos DB can scale request units (RUs) for metadata query volume.
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 Blob Storage for videos and Azure Cosmos DB for metadata — Azure Blob Storage is optimized for storing large binary objects like video files, offering high-throughput streaming via HTTP/HTTPS and integration with CDN for low-latency global delivery. Azure Cosmos DB provides single-digit millisecond read and write latencies with automatic indexing, making it ideal for quickly querying JSON metadata by tag using SQL or MongoDB API. This combination separates storage concerns (blobs for raw video, document DB for structured metadata) to meet both streaming and query performance requirements.
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.