A company is using Azure Cosmos DB for a new application. They expect a steady, predictable workload and want to minimize cost while ensuring consistent performance. Which capacity mode should they choose?

Provisioned throughput (manual)

A multinational corporation is deploying a customer-facing application that must serve users in North America, Europe, and Asia. They require that each user's data be read from a region close to them to minimize latency. The application writes are infrequent and can tolerate some delay in propagation. Which Azure Cosmos DB feature should they enable?

Change feed with Azure Functions

Multiple read regions with a single write region

A gaming company needs a database to store player profiles and game state that must be available across multiple regions and handle rapid changes in player activity. Which scenario is a typical use case for Azure Cosmos DB?

A key-value store for session state that requires high availability and low latency

A file share for storing game assets that need to be accessed by players

A data warehouse for business intelligence reporting with complex aggregations

A relational database for managing financial transactions with strict consistency

A team is designing a Cosmos DB container for a multi-tenant application. They expect a few large tenants to generate most of the traffic, and they are concerned about throttling. They need to choose a partition key that distributes load evenly. Which partition key strategy should they use?

Use the tenant ID as the partition key

Use a constant partition key for all documents

Use a synthetic partition key that combines tenant ID and a high-cardinality field such as order ID

Use the document ID as the partition key

What is a trade-off of using eventual consistency in Azure Cosmos DB?

It provides the lowest latency and highest availability but may return stale data

It guarantees that reads always return the latest write

It requires all replicas to acknowledge a write before it is committed

It is only available in single-region deployments

Microsoft Certified:Azure Data Fundamentals

Domain 3Objective 2

Describe the Capabilities and Features of Azure Cosmos DB DP-900 Practice Questions (Page 2)

Part of the Describe considerations for working with non-relational data on Azure domain, which accounts for 15–20% of the DP-900 exam. Microsoft does not publish an official question count, but from its 45-minute exam (~20–30 total, ~3–6 in this domain), expect 2–3 from this objective — we provide 37 practice questions to prepare you well beyond it. (estimate)

37questions here

8free pages

6concepts

15–20%of the exam

Questions 6–10

6application · medium
A company is using Azure Cosmos DB for a new application. They expect a steady, predictable workload and want to minimize cost while ensuring consistent performance. Which capacity mode should they choose?
Select an answer first
7application · medium
A multinational corporation is deploying a customer-facing application that must serve users in North America, Europe, and Asia. They require that each user's data be read from a region close to them to minimize latency. The application writes are infrequent and can tolerate some delay in propagation. Which Azure Cosmos DB feature should they enable?
Select an answer first
8foundation · easy
A gaming company needs a database to store player profiles and game state that must be available across multiple regions and handle rapid changes in player activity. Which scenario is a typical use case for Azure Cosmos DB?
Select an answer first
9expert · hard
A team is designing a Cosmos DB container for a multi-tenant application. They expect a few large tenants to generate most of the traffic, and they are concerned about throttling. They need to choose a partition key that distributes load evenly. Which partition key strategy should they use?
Select an answer first
10foundation · easy
What is a trade-off of using eventual consistency in Azure Cosmos DB?
Select an answer first

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