- A
Strong
Why wrong: Strong consistency provides linearizability for all reads, but it comes with higher latency and availability trade-offs. It is overkill for this scenario because the application only needs immediate consistency for the user's own posts.
- B
Bounded staleness
Why wrong: Bounded staleness allows reads to lag behind writes by a defined time interval or number of versions. While it can be tuned, it does not guarantee immediate visibility of the user's own writes within the same session without additional session context.
- C
Session
Session consistency guarantees that within the same client session, reads will see the latest writes. This means the user will always see their own post immediately, while reads of other users' posts may be stale. This is the most cost-effective and correct choice.
- D
Eventual
Why wrong: Eventual consistency provides no ordering guarantee. A user might not see their own latest post immediately after a refresh, which violates the requirement.
Quick Answer
The answer is Session consistency. This is the correct choice because Session consistency guarantees read-your-writes, monotonic reads, and monotonic writes within a single client session, ensuring that when a user publishes a new post, their own feed refresh immediately displays that post, while still allowing temporary staleness for posts from other users. On the Microsoft Azure Data Fundamentals DP-900 exam, this scenario tests your understanding of how consistency levels map to real-world application requirements, with Session being the most common trap for those who might incorrectly choose Strong or Eventual—remember, Strong would be overkill and hurt performance, while Eventual would not guarantee the user sees their own post right away. A helpful memory tip: think of Session as “my session, my writes first”—it’s the perfect balance for user-specific immediacy without global overhead.
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 uses Azure Cosmos DB to store user posts. When a user publishes a new post, they immediately refresh their feed and expect to see their own post right away. However, the application can tolerate temporary staleness for posts from other users. Which Azure Cosmos DB consistency level should the app use for the read operations that display the feed?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"immediately / without restart"Why it matters: Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.
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
Session
Session consistency guarantees monotonic reads, writes, and read-your-writes within a single client session. Because the user expects to see their own post immediately after publishing, but can tolerate staleness for others' posts, Session consistency provides the exact guarantee needed: the user's own writes are immediately visible to them, while other users' posts may be slightly stale.
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.
- ✗
Strong
Why it's wrong here
Strong consistency provides linearizability for all reads, but it comes with higher latency and availability trade-offs. It is overkill for this scenario because the application only needs immediate consistency for the user's own posts.
- ✗
Bounded staleness
Why it's wrong here
Bounded staleness allows reads to lag behind writes by a defined time interval or number of versions. While it can be tuned, it does not guarantee immediate visibility of the user's own writes within the same session without additional session context.
- ✓
Session
Why this is correct
Session consistency guarantees that within the same client session, reads will see the latest writes. This means the user will always see their own post immediately, while reads of other users' posts may be stale. This is the most cost-effective and correct choice.
Clue confirmation
The clue word "immediately / without restart" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Eventual
Why it's wrong here
Eventual consistency provides no ordering guarantee. A user might not see their own latest post immediately after a refresh, which violates the requirement.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often pick Eventual consistency because they see 'tolerate temporary staleness' and forget that the user's own post must be immediately visible, which requires at least read-your-writes — a guarantee that Session consistency provides but Eventual does not.
Trap categories for this question
Scenario analysis trap
Strong consistency provides linearizability for all reads, but it comes with higher latency and availability trade-offs. It is overkill for this scenario because the application only needs immediate consistency for the user's own posts.
Detailed technical explanation
How to think about this question
Session consistency is the default consistency level for Azure Cosmos DB accounts configured with the Session level. It uses a session token (a string that tracks the client's write progress) sent with each request to ensure the read operation is served from a replica that has seen the client's latest write. Under the hood, the SDK automatically manages session tokens, and if a replica is behind, the request is retried on a more up-to-date replica, ensuring the read-your-writes guarantee without requiring global quorum.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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: Session — Session consistency guarantees monotonic reads, writes, and read-your-writes within a single client session. Because the user expects to see their own post immediately after publishing, but can tolerate staleness for others' posts, Session consistency provides the exact guarantee needed: the user's own writes are immediately visible to them, while other users' posts may be slightly stale.
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.
Are there clue words in this question I should notice?
Yes — watch for: "immediately / without restart". Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.
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
1 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. A social networking application uses Azure Cosmos DB to store user posts. When a user publishes a new post, they immediately refresh their feed and expect to see their own post. However, the application can tolerate temporary staleness for posts from other users (e.g., a few seconds delay). Which Azure Cosmos DB consistency level should the application use for read operations that display the feed?
medium- A.Strong
- B.Bounded staleness
- ✓ C.Session
- D.Eventual
Why C: Session consistency is the correct choice because it guarantees that the user who writes a post will read their own write within the same session, while allowing other users to see slightly stale data. This matches the requirement: the author immediately sees their new post, but the application can tolerate a few seconds of staleness for other users' posts. Session consistency uses a session token to ensure monotonic reads and writes for the same client, making it ideal for per-user feed scenarios.
Last reviewed: Jun 11, 2026
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