Question 196 of 982

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 mobile gaming company stores player activity logs as JSON documents. Each document has a unique ActivityID, a PlayerID, a timestamp, and a variable set of attributes depending on the game event (e.g., level started, item purchased). The application requires low-latency point reads by ActivityID and needs to query logs by PlayerID for a given time range. Schema flexibility is critical because new game events are added frequently. Which Azure Cosmos DB API should they choose?

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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

NoSQL API (formerly SQL API)

The NoSQL API (formerly SQL API) is the correct choice because it natively supports JSON documents with flexible schemas, enabling the variable attributes required for new game events. It provides low-latency point reads by ActivityID via direct partition key lookups and supports efficient queries by PlayerID within a time range using composite indexes or cross-partition queries with filtering. This API is optimized for schema-agnostic, document-based workloads and offers the richest query capabilities for JSON data in Azure Cosmos DB.

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.

  • NoSQL API (formerly SQL API)

    Why this is correct

    Correct. The NoSQL API provides native JSON support, flexible schema, automatic indexing, and SQL-like querying for efficient point reads and range queries.

    Related concept

    Read the scenario before looking for a memorised answer.

  • MongoDB API

    Why it's wrong here

    Incorrect. While MongoDB API also supports JSON documents, it uses MongoDB's query language and may not be the best choice if the team is not already using MongoDB; the NoSQL API is more native to Azure Cosmos DB.

  • Cassandra API

    Why it's wrong here

    Incorrect. Cassandra API is designed for wide-column storage and uses CQL, which is not ideal for flexible JSON documents and varied attributes.

  • Gremlin API

    Why it's wrong here

    Incorrect. Gremlin API is for graph databases, not for storing JSON documents with flexible schema.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often choose the MongoDB API assuming it is the only option for JSON documents, but they overlook that the NoSQL API provides superior query flexibility and indexing for time-range queries, and that all Cosmos DB APIs support JSON documents but with different query capabilities.

Detailed technical explanation

How to think about this question

Under the hood, the NoSQL API uses a hash-based partition key (e.g., ActivityID) to distribute data across physical partitions, enabling sub-10-ms point reads by routing requests directly to the correct partition. For queries by PlayerID and timestamp, a composite index on (PlayerID, timestamp) can be created to avoid cross-partition scans, leveraging the API's indexing engine that automatically indexes all JSON properties. In real-world scenarios, this design allows the gaming company to add new game event attributes without schema migrations, as the API stores each document as a self-describing JSON blob and indexes new fields automatically.

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.

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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: NoSQL API (formerly SQL API) — The NoSQL API (formerly SQL API) is the correct choice because it natively supports JSON documents with flexible schemas, enabling the variable attributes required for new game events. It provides low-latency point reads by ActivityID via direct partition key lookups and supports efficient queries by PlayerID within a time range using composite indexes or cross-partition queries with filtering. This API is optimized for schema-agnostic, document-based workloads and offers the richest query capabilities for JSON data in Azure Cosmos DB.

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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