Question 853 of 982

Describe considerations for working with non-relational data on Azure →mediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is the Core (SQL) API. This is the correct choice because it stores data as JSON documents, which naturally represent key-value pairs like player profiles and game settings, while offering native SQL query support that minimizes the learning curve for a team already familiar with SQL. The API also provides low-latency reads and writes without requiring complex joins, perfectly matching the scenario’s performance needs. On the Microsoft Azure Data Fundamentals DP-900 exam, this question tests your understanding that the SQL API is the default, schema-agnostic option for document data, and a common trap is assuming key-value data requires the Table API—but the Table API lacks SQL querying. Remember the memory tip: “SQL for key-value? Yes, it’s still a document—just think of each key as a property in a JSON object.”

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 is building a new feature that stores player profiles and game settings as key-value pairs. The development team is most familiar with SQL queries and wants to minimize the learning curve. They require low-latency reads and writes, and the data does not require complex joins. Which Azure Cosmos DB API should they choose?

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

Full question →

A
A. Core (SQL) API
Correct. The Core (SQL) API uses a SQL-like query language, which aligns with the team's SQL skills. It handles key-value data with low latency and is the most straightforward choice.
B
B. Azure Cosmos DB for Table API
Why wrong: Incorrect. The Table API uses OData and RESTful queries, not SQL. It is designed for key-value workloads but requires the team to learn a different query syntax, increasing the learning curve.
C
C. Azure Cosmos DB for MongoDB API
Why wrong: Incorrect. The MongoDB API uses MongoDB's query language (e.g., JSON-based documents with BSON), which is different from SQL. It would require the team to learn MongoDB concepts.
D
D. Azure Cosmos DB for Cassandra API
Why wrong: Incorrect. The Cassandra API uses CQL (Cassandra Query Language), which, while similar to SQL in syntax, has significant differences in data modeling and query patterns. It is not the best fit for a team wanting to minimize learning.

Full breakdown with real-world context →

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

✓

A. Core (SQL) API

The Core (SQL) API is the correct choice because it provides native support for SQL queries, which aligns with the development team's familiarity with SQL and minimizes the learning curve. It stores data in JSON documents with key-value pairs, supports low-latency reads and writes, and does not require complex joins, making it ideal for player profiles and game settings.

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.

✓
A. Core (SQL) API
Why this is correct
Correct. The Core (SQL) API uses a SQL-like query language, which aligns with the team's SQL skills. It handles key-value data with low latency and is the most straightforward choice.
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.
✗
B. Azure Cosmos DB for Table API
Why it's wrong here
Incorrect. The Table API uses OData and RESTful queries, not SQL. It is designed for key-value workloads but requires the team to learn a different query syntax, increasing the learning curve.
✗
C. Azure Cosmos DB for MongoDB API
Why it's wrong here
Incorrect. The MongoDB API uses MongoDB's query language (e.g., JSON-based documents with BSON), which is different from SQL. It would require the team to learn MongoDB concepts.
✗
D. Azure Cosmos DB for Cassandra API
Why it's wrong here
Incorrect. The Cassandra API uses CQL (Cassandra Query Language), which, while similar to SQL in syntax, has significant differences in data modeling and query patterns. It is not the best fit for a team wanting to minimize learning.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may choose the Azure Cosmos DB for Table API (Option B) because they associate 'key-value pairs' with Table storage, but the question emphasizes SQL familiarity and low-latency reads/writes, which the Core (SQL) API directly supports with its native SQL query capability.

Trap categories for this question

Similar concept trap
Incorrect. The Cassandra API uses CQL (Cassandra Query Language), which, while similar to SQL in syntax, has significant differences in data modeling and query patterns. It is not the best fit for a team wanting to minimize learning.

Detailed technical explanation

How to think about this question

The Core (SQL) API uses a SQL dialect that supports SELECT, WHERE, JOIN (via subqueries), and aggregate functions like COUNT and SUM, but it is optimized for JSON documents with automatic indexing of all properties. Under the hood, it uses a schema-agnostic indexing engine that ensures low-latency reads and writes by indexing every path in the JSON document by default, which can be tuned with custom indexing policies for performance. In a real-world scenario, a mobile gaming company could store player profiles as documents with fields like 'playerId', 'settings', and 'inventory', and query them with SQL-like syntax such as 'SELECT * FROM c WHERE c.playerId = '123'' without needing to learn a new API.

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: A. Core (SQL) API — The Core (SQL) API is the correct choice because it provides native support for SQL queries, which aligns with the development team's familiarity with SQL and minimizes the learning curve. It stores data in JSON documents with key-value pairs, supports low-latency reads and writes, and does not require complex joins, making it ideal for player profiles and game settings.

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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Last reviewed: Jun 11, 2026

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