- A
Use multi-region writes with strong consistency
Why wrong: Incorrect. Strong consistency is not supported when multiple write regions are enabled. Multi-region writes only support eventual consistency.
- B
Use single-region writes with strong consistency
Correct. Strong consistency provides immediate global consistency, but it requires a single write region. This trade-off meets the guarantee at the cost of slightly higher write latency for remote users.
- C
Use multi-region writes with bounded staleness consistency
Why wrong: Incorrect. Bounded staleness is not available with multi-region writes. Only eventual consistency is supported in that configuration.
- D
Use single-region writes with eventual consistency and implement application-level conflict resolution
Why wrong: Incorrect. Eventual consistency cannot guarantee that all reads see the latest write immediately, which violates the requirement for strong global consistency.
Quick Answer
The answer is to use single-region writes with strong consistency. This configuration guarantees that once an order is recorded, all subsequent reads from any global region see the most up-to-date status because Azure Cosmos DB synchronously replicates each write to all configured regions before acknowledging the commit, ensuring linearizability. For the DP-900 exam, this scenario tests your understanding of the trade-off between consistency models and write latency: strong consistency with single-region writes delivers low write latency within the primary region while still providing strong consistency for global reads, avoiding the conflict-resolution overhead of multi-region writes. A common trap is assuming multi-region writes are needed for low latency everywhere, but that sacrifices strong consistency. Remember the memory tip: “One writer, strong reader” — single-region writes keep writes fast and reads globally consistent.
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 global e-commerce company uses Azure Cosmos DB with multiple write regions to handle high traffic from users worldwide. For their order processing system, they must guarantee that once an order is recorded, all subsequent reads from any region see the most up-to-date order status. However, they also need low write latency globally. Which configuration should they choose to meet these requirements?
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
Use single-region writes with strong consistency
Strong consistency with single-region writes ensures that all reads in any region return the most recent write, because Cosmos DB replicates writes synchronously to all regions when strong consistency is configured. This guarantees linearizability: once an order is committed, every subsequent read sees that update. Single-region writes avoid the conflict-resolution overhead of multi-region writes while still providing low write latency within the primary region, and reads from secondary regions are served from locally replicated data that is kept fully consistent.
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.
- ✗
Use multi-region writes with strong consistency
Why it's wrong here
Incorrect. Strong consistency is not supported when multiple write regions are enabled. Multi-region writes only support eventual consistency.
- ✓
Use single-region writes with strong consistency
Why this is correct
Correct. Strong consistency provides immediate global consistency, but it requires a single write region. This trade-off meets the guarantee at the cost of slightly higher write latency for remote users.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use multi-region writes with bounded staleness consistency
Why it's wrong here
Incorrect. Bounded staleness is not available with multi-region writes. Only eventual consistency is supported in that configuration.
- ✗
Use single-region writes with eventual consistency and implement application-level conflict resolution
Why it's wrong here
Incorrect. Eventual consistency cannot guarantee that all reads see the latest write immediately, which violates the requirement for strong global consistency.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume multi-region writes are needed for global low-latency writes, but they overlook that strong consistency cannot be combined with multi-region writes, and that single-region writes with strong consistency still provide low write latency in the primary region while guaranteeing immediate read freshness across all regions.
Detailed technical explanation
How to think about this question
Under the hood, Cosmos DB’s strong consistency uses a quorum-based commit protocol (with a majority of replicas in the primary region and synchronous replication to all secondary regions) to ensure linearizable reads and writes. The trade-off is that write latency is bounded by the round-trip time to the farthest secondary region, which is why single-region writes are preferred for low-latency writes: the primary region commits locally, and replication to secondaries happens asynchronously but is still kept strongly consistent for reads. In a real-world scenario, a global e-commerce site might place the single write region in a central location (e.g., West Europe) and serve reads from secondary regions (e.g., East US, Southeast Asia) with strong consistency, ensuring order status is always current everywhere.
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
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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: Use single-region writes with strong consistency — Strong consistency with single-region writes ensures that all reads in any region return the most recent write, because Cosmos DB replicates writes synchronously to all regions when strong consistency is configured. This guarantees linearizability: once an order is committed, every subsequent read sees that update. Single-region writes avoid the conflict-resolution overhead of multi-region writes while still providing low write latency within the primary region, and reads from secondary regions are served from locally replicated data that is kept fully consistent.
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 →
Same concept, more angles
2 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 global e-commerce platform uses Azure Cosmos DB to store product inventory data. Customers add items to their cart, which reduces the available inventory count. The application requires that after a customer adds an item, any subsequent read of that product's inventory from any region in the world must reflect the reduced count immediately. Which Cosmos DB consistency level should be used?
medium- A.Eventual consistency
- B.Consistent prefix consistency
- C.Session consistency
- ✓ D.Strong consistency
Why D: Strong consistency ensures that any read operation returns the most recent write, regardless of the region. Since the application requires that after a customer adds an item, any subsequent read of that product's inventory from any region must reflect the reduced count immediately, Strong consistency is the only level that guarantees linearizability and zero staleness across all replicas.
Variation 2. A global gaming company uses Azure Cosmos DB to store player scores and profiles. The application reads and writes player data from multiple regions worldwide. The company wants to ensure that when a player updates their high score in one region, any subsequent read from another region will always see the latest value, even if there is network latency between regions. Which consistency level should they choose?
medium- ✓ A.Strong
- B.Bounded staleness
- C.Session
- D.Eventual
Why A: Strong consistency ensures that any read operation returns the most recent write across all regions. In Azure Cosmos DB, this is achieved by synchronously replicating writes to all replicas before acknowledging the write, guaranteeing that subsequent reads in any region always see the latest value, regardless of network latency.
Last reviewed: Jun 11, 2026
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