Microsoft Certified:Azure Cosmos DB Developer Specialty
Domain 1Objective 3
Plan and Implement Sizing and Scaling for a Database Created with Azure Cosmos DB DP-420 Practice Questions (Page 2)
Part of the Design and implement data models domain, which makes up ~45% of our current practice bank. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~18–29 in this domain), expect 3–4 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)
26questions here
6free pages
9concepts
Questions 6–10
- 6
A company is designing a new application that will use Azure Cosmos DB. The application will have a predictable workload with a steady state of 5,000 RU/s and occasional spikes to 10,000 RU/s for a few minutes. The team wants to avoid throttling and minimize cost. Which throughput configuration should they choose?
Select an answer first - 7
A developer is creating a new Azure Cosmos DB account for a small application that will be used by a few users during business hours. The workload is expected to be very low, with occasional bursts. The developer wants to minimize cost and is considering serverless mode. Which scenario is best suited for serverless mode?
Select an answer first - 8
A developer is using the Azure portal to configure throughput for a new Azure Cosmos DB container. The container will be used for a development environment with low traffic. The developer wants to set the throughput to 400 RU/s. In the portal, which setting should they choose?
Select an answer first - 9
A company is designing a new application that will store 500 GB of data in Azure Cosmos DB. The workload is expected to have steady, predictable traffic with occasional spikes. The team is comparing serverless and provisioned throughput. They want to minimize cost for the storage component. Which statement about storage cost is true?
Select an answer first - 10
A team is designing an Azure Cosmos DB database for a microservices architecture. They have 10 microservices, each with its own container. The traffic patterns vary: some microservices have steady low traffic, others have unpredictable spikes. The team wants to simplify management and reduce cost, but they also need to ensure that a spike in one microservice does not throttle others. Which design should they use?
Select an answer first
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