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Describe core data conceptseasyMultiple ChoiceObjective-mapped

DP-900 Describe core data concepts Practice Question

This DP-900 practice question tests your understanding of describe core data concepts. 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 company wants to store JSON documents that need to be queried with high throughput and low latency globally. Which Azure data service is most appropriate?

Question 1easymultiple 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

Azure Cosmos DB

Azure Cosmos DB is the most appropriate service because it is a globally distributed, multi-model database that natively supports JSON documents and provides guaranteed single-digit-millisecond latency at the 99th percentile, along with high throughput via configurable request units (RUs). Its turnkey global distribution enables low-latency reads and writes across multiple Azure regions, making it ideal for globally queried JSON workloads.

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

    Table Storage is for key-value storage, not JSON documents, and has higher latency.

  • Azure Cosmos DB

    Why this is correct

    Cosmos DB provides global distribution, low latency, and native JSON support.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Azure SQL Database

    Why it's wrong here

    Azure SQL Database is relational and not optimized for JSON document storage with global distribution.

  • Azure Blob Storage

    Why it's wrong here

    Blob Storage is for unstructured binary data, not queryable JSON.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse Azure Table Storage's key-value model with JSON document support, or assume Azure SQL Database's JSON functions make it suitable for globally distributed, high-throughput JSON workloads, missing Cosmos DB's core differentiator of turnkey global distribution and guaranteed low latency.

Detailed technical explanation

How to think about this question

Under the hood, Azure Cosmos DB uses a write-optimized, log-structured index (LSM-tree) and a multi-master replication protocol to achieve its latency guarantees, with automatic indexing of all JSON properties by default. A real-world scenario is a global e-commerce platform that stores product catalogs as JSON documents and requires sub-10-millisecond reads from any region; Cosmos DB's consistency levels (e.g., bounded staleness) allow tuning between performance and data freshness. The service exposes multiple APIs (SQL, MongoDB, Cassandra, Gremlin, Table) but the native SQL API is the most direct for JSON document queries.

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.

Related practice questions

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FAQ

Questions learners often ask

What does this DP-900 question test?

Describe core data concepts — This question tests Describe core data concepts — 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 most appropriate service because it is a globally distributed, multi-model database that natively supports JSON documents and provides guaranteed single-digit-millisecond latency at the 99th percentile, along with high throughput via configurable request units (RUs). Its turnkey global distribution enables low-latency reads and writes across multiple Azure regions, making it ideal for globally queried JSON workloads.

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 24, 2026

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