Question 613 of 982

Quick Answer

The answer is Eventual consistency. This is the correct choice because Eventual consistency allows Azure Cosmos DB to serve reads from any replica without waiting for synchronization, making it the fastest option for a read-heavy app where immediate consistency is not required. Since the app prioritizes low latency for global profile views and accepts eventual consistency, this level eliminates any staleness bounds or write acknowledgments that would slow down read performance. On the DP-900 exam, this scenario tests your understanding of the trade-off between consistency and latency: Eventual offers the lowest read latency, while Strong offers the highest. A common trap is choosing Consistent Prefix or Session, which still impose some ordering or session guarantees that add overhead. Memory tip: think “Eventual = eventual updates, immediate reads” — the fastest path for read-heavy apps where perfect freshness isn’t needed.

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 global social media app uses Azure Cosmos DB (NoSQL API) to store user profile data. The app is read-heavy and requires the fastest possible read performance worldwide. The data is updated by users and eventual consistency is acceptable because immediate consistency is not critical for profile views. Which consistency level should they choose to minimize read latency?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "minimum / minimize"

    Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

Question 1mediummultiple choice
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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

Eventual

Eventual consistency offers the lowest read latency because it allows reads from any replica without waiting for confirmation that the data is the most recent version. Since the app is read-heavy and eventual consistency is acceptable, this consistency level minimizes latency by not requiring any synchronization or staleness bounds.

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 guarantees that reads always return the most recent write, but it requires writes to be acknowledged by all replicas, increasing latency for both writes and reads, which is not optimal for minimizing read latency.

  • Bounded staleness

    Why it's wrong here

    Bounded staleness ensures reads are within a fixed time lag from the latest write. While it offers stricter guarantees than eventual, it still imposes some synchronization overhead, resulting in higher read latency than eventual consistency.

  • Session

    Why it's wrong here

    Session consistency guarantees monotonic reads and writes within a single client session. Although it is efficient, it still requires some coordination, leading to slightly higher latency than eventual consistency.

  • Eventual

    Why this is correct

    Eventual consistency provides the weakest guarantee but the lowest read latency. Reads are served from any replica without waiting for write propagation, making it ideal for read-heavy workloads where immediate consistency is not required.

    Clue confirmation

    The clue word "minimum / minimize" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often assume Strong or Bounded staleness are required for any data that is updated, but the question explicitly states eventual consistency is acceptable, making Eventual the optimal choice for minimizing read latency.

Detailed technical explanation

How to think about this question

Under the hood, Azure Cosmos DB replicates data across multiple regions using a multi-master replication protocol. With Eventual consistency, reads can be served from the nearest replica without any quorum or staleness checks, leveraging the local timestamp to return the latest available version. In a real-world scenario, a global social media app might use Eventual consistency for profile views to ensure sub-10ms read latencies, accepting that a user might briefly see an outdated profile after an update.

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.

Related practice questions

Related DP-900 practice-question pages

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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: Eventual — Eventual consistency offers the lowest read latency because it allows reads from any replica without waiting for confirmation that the data is the most recent version. Since the app is read-heavy and eventual consistency is acceptable, this consistency level minimizes latency by not requiring any synchronization or staleness bounds.

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: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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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 global social media app uses Azure Cosmos DB (NoSQL API) to store user profile data. The app is read-heavy and must serve content with the lowest possible latency to users worldwide. The data is updated by users, and the business has determined that eventual consistency is acceptable because immediate consistency after a write is not critical for profile views. Which consistency level should they choose to minimize read latency?

medium
  • A.Eventual
  • B.Strong
  • C.Bounded staleness
  • D.Session

Why A: Eventual consistency is the correct choice because it offers the lowest read latency by allowing reads to return data immediately without waiting for replication to complete. Since the app is read-heavy, global, and can tolerate eventual consistency for profile views, this consistency level minimizes the time to serve content by not imposing any ordering or staleness guarantees on replicas.

Last reviewed: Jun 11, 2026

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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.