Question 67 of 982

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

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 session data as key-value pairs. Each player has a unique PlayerID, and the application needs to read/write the player's current level and score with very low latency. The data does not require complex queries, and the schema (attributes per player) can vary. The company wants a fully managed, globally distributed NoSQL database. Which Azure data store should they choose?

Question 1mediummultiple choice

Full question →

A
Azure Cosmos DB Table API
The Table API is a key-value store that provides low-latency access, global distribution, and a flexible schema. It is designed for simple lookups by partition key and row key, fitting this use case perfectly.
B
Azure SQL Database
Why wrong: Azure SQL Database is a relational database with a fixed schema. While it can be used for key-value data, it is not optimized for simple key-value access and lacks flexible schema support without additional configuration.
C
Azure Blob Storage
Why wrong: Azure Blob Storage is designed for storing unstructured data such as files, images, or backups. It does not provide a native key-value interface for low-latency read/write of individual player attributes.
D
Azure Cache for Redis
Why wrong: Azure Cache for Redis is an in-memory cache that offers very low latency, but it is not a durable, fully managed database for persistent storage. Data can be lost if not persisted, and global distribution is not native.

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

✓

Azure Cosmos DB Table API

Azure Cosmos DB Table API is the correct choice because it provides a fully managed, globally distributed NoSQL database that supports key-value data with schema flexibility. It offers low-latency reads and writes (single-digit milliseconds at the 99th percentile) and automatic global distribution, making it ideal for storing player session data with varying attributes per player.

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 Cosmos DB Table API
Why this is correct
The Table API is a key-value store that provides low-latency access, global distribution, and a flexible schema. It is designed for simple lookups by partition key and row key, fitting this use case perfectly.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure SQL Database
Why it's wrong here
Azure SQL Database is a relational database with a fixed schema. While it can be used for key-value data, it is not optimized for simple key-value access and lacks flexible schema support without additional configuration.
✗
Azure Blob Storage
Why it's wrong here
Azure Blob Storage is designed for storing unstructured data such as files, images, or backups. It does not provide a native key-value interface for low-latency read/write of individual player attributes.
✗
Azure Cache for Redis
Why it's wrong here
Azure Cache for Redis is an in-memory cache that offers very low latency, but it is not a durable, fully managed database for persistent storage. Data can be lost if not persisted, and global distribution is not native.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may confuse Azure Cache for Redis as a durable database, but it is primarily an in-memory cache that requires additional configuration for persistence and global distribution, whereas Cosmos DB Table API is a fully managed, globally distributed NoSQL database with built-in durability and low latency.

Detailed technical explanation

How to think about this question

Under the hood, Azure Cosmos DB Table API uses a partitioned key-value store with automatic indexing of all properties, enabling efficient point reads and writes by PlayerID. The global distribution is achieved through turnkey multi-region writes and reads with configurable consistency levels (e.g., session, eventual, strong), ensuring low latency for players worldwide. A real-world scenario: a mobile game with millions of players across continents can use Cosmos DB to serve player data from the nearest region, with automatic failover and no downtime during regional outages.

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.

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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: Azure Cosmos DB Table API — Azure Cosmos DB Table API is the correct choice because it provides a fully managed, globally distributed NoSQL database that supports key-value data with schema flexibility. It offers low-latency reads and writes (single-digit milliseconds at the 99th percentile) and automatic global distribution, making it ideal for storing player session data with varying attributes per player.

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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