- A
Azure Table Storage
Why wrong: Azure Table Storage is a NoSQL key-value store but lacks native global distribution and has lower throughput limits, making it unsuitable for heavy write workloads across regions.
- B
Azure Blob Storage
Why wrong: Azure Blob Storage is designed for storing large amounts of unstructured binary data, such as files and images, not for low-latency key-value lookups on session data.
- C
Azure Cosmos DB
Azure Cosmos DB supports global distribution, multiple consistency levels, and flexible schema, making it ideal for globally distributed key-value workloads with high throughput.
- D
Azure Cache for Redis
Why wrong: Azure Cache for Redis is an in-memory cache for low-latency access, but it is not designed for durable, globally replicated storage of session data.
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 startup needs to store user sessions as key-value pairs. Each session has a unique session ID, and the data needs to be globally distributed across multiple Azure regions to support low-latency reads for users worldwide. The development team expects heavy write throughput and needs flexible schema. 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
Azure Cosmos DB is the correct choice because it provides globally distributed, multi-region writes and reads with turnkey global distribution, supports flexible schema via its document model, and offers multiple consistency levels to balance performance and data integrity. It is designed for high-throughput, low-latency workloads like user sessions, with session IDs serving as natural partition keys for efficient key-value lookups.
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 Table Storage
Why it's wrong here
Azure Table Storage is a NoSQL key-value store but lacks native global distribution and has lower throughput limits, making it unsuitable for heavy write workloads across regions.
- ✗
Azure Blob Storage
Why it's wrong here
Azure Blob Storage is designed for storing large amounts of unstructured binary data, such as files and images, not for low-latency key-value lookups on session data.
- ✓
Azure Cosmos DB
Why this is correct
Azure Cosmos DB supports global distribution, multiple consistency levels, and flexible schema, making it ideal for globally distributed key-value workloads with high throughput.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure Cache for Redis
Why it's wrong here
Azure Cache for Redis is an in-memory cache for low-latency access, but it is not designed for durable, globally replicated storage of session data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Cache for Redis (a caching layer) with a durable, globally distributed data store, overlooking that session data requiring persistence and global replication needs a database like Cosmos DB, not an in-memory cache.
Detailed technical explanation
How to think about this question
Cosmos DB uses a resource token model and supports multiple APIs (SQL, MongoDB, Cassandra, Table, Gremlin) under the same backend. For session stores, the session ID is typically used as the partition key, and Cosmos DB automatically distributes partitions across physical replicas in each chosen region. The multi-region writes feature allows any region to accept writes, with conflict resolution policies (e.g., last-writer-wins) handling concurrent updates, which is critical for globally distributed user sessions.
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.
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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 correct choice because it provides globally distributed, multi-region writes and reads with turnkey global distribution, supports flexible schema via its document model, and offers multiple consistency levels to balance performance and data integrity. It is designed for high-throughput, low-latency workloads like user sessions, with session IDs serving as natural partition keys for efficient key-value lookups.
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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Last reviewed: Jun 11, 2026
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