A team is designing an Azure Cosmos DB database for a microservices application. Each microservice uses its own container, and the team expects that some containers will have sporadic traffic while others will have steady traffic. They want to ensure that no single container can consume all the throughput and starve others. Which throughput provisioning approach is most appropriate?

Use serverless mode for the database

Provision throughput at the database level

Provision throughput at the account level

Provision throughput at each container level

A multinational company is deploying an application that must serve users in North America and Europe. They plan to use Azure Cosmos DB with two regions: East US and West Europe. The workload is write-heavy and requires low latency in both regions. The team is evaluating the cost implications of global distribution. Which factor should they consider to minimize cost while meeting the latency requirement?

Provision throughput only in the primary region and rely on the secondary region for reads

Use serverless throughput to avoid paying for provisioned throughput in multiple regions

Use a single write region and configure the second region as a read replica

Enable multi-region writes to allow low-latency writes in both regions

A team is implementing resource governance for an Azure Cosmos DB solution that supports multiple teams. Each team has a different workload pattern, and the team wants to set limits on the amount of throughput each team can use. Which Azure Cosmos DB feature should they use to enforce these limits?

Serverless mode with per-request limits

Database-level throughput with autoscale

Partition key design to limit throughput

Container-level throughput with autoscale

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 4)

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 16–20

16foundation · easy
A team is planning the storage for an Azure Cosmos DB container that will hold order history data. The average order document is 5 KB, and the application will store 10 million orders. Additionally, the team expects that indexes will add approximately 20% overhead to the storage. What is the total storage capacity (in GB) that should be planned, including index overhead?
Select an answer first
17foundation · easy
A team is designing an Azure Cosmos DB database for a microservices application. Each microservice uses its own container, and the team expects that some containers will have sporadic traffic while others will have steady traffic. They want to ensure that no single container can consume all the throughput and starve others. Which throughput provisioning approach is most appropriate?
Select an answer first
18application · medium
A team is designing an Azure Cosmos DB container for a logging application. Each log entry is about 1 KB, and the application will write 100,000 log entries per second during peak hours. The team wants to ensure that the container can handle the write throughput. What is the minimum provisioned throughput they should set?
Select an answer first
19expert · medium
A multinational company is deploying an application that must serve users in North America and Europe. They plan to use Azure Cosmos DB with two regions: East US and West Europe. The workload is write-heavy and requires low latency in both regions. The team is evaluating the cost implications of global distribution. Which factor should they consider to minimize cost while meeting the latency requirement?
Select an answer first
20foundation · easy
A team is implementing resource governance for an Azure Cosmos DB solution that supports multiple teams. Each team has a different workload pattern, and the team wants to set limits on the amount of throughput each team can use. Which Azure Cosmos DB feature should they use to enforce these limits?
Select an answer first

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Plan and Implement Sizing and Scaling for a Database Created with Azure Cosmos DB DP-420 Practice Questions (Page 4)

Questions 16–20

A team is implementing resource governance for an Azure Cosmos DB solution that supports multiple teams. Each team has a different workload pattern, and the team wants to set limits on the amount of throughput each team can use. Which Azure Cosmos DB feature should they use to enforce these limits?

Keep studying — Design and implement data models