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DP-420 Pack
Vendor: Microsoft
Exam Code: DP-420
Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
Exam Questions: 144
Last Updated: January 14, 2026
Related Certifications: Azure Cosmos DB Developer Specialty
Exam Tags: Cloud Certifications, Microsoft Azure Certifications, Data Management Certifications, Data and AI Certifications Intermediate Microsoft Developers
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Free Microsoft DP-420 Exam Actual Questions

Question No. 1

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You have an Azure Cosmos DB Core (SQL) API account named account 1 that uses autoscale throughput.

You need to run an Azure function when the normalized request units per second for a container in account1 exceeds a specific value.

Solution: You configure an application to use the change feed processor to read the change feed and you configure the application to trigger the function.

Does this meet the goal?

Show Answer Hide Answer
Correct Answer: B

Instead configure an Azure Monitor alert to trigger the function.

You can set up alerts from the Azure Cosmos DB pane or the Azure Monitor service in the Azure portal.


Question No. 2

You have an Azure Cosmos DB database that hosts a container named container1.

You need to ensure that the items stored in contained will NOT expire unless their TTL value is set explicitly. What should you do?

Show Answer Hide Answer
Correct Answer: B

Question No. 3

You need to create a database in an Azure Cosmos DB for NoSQL account. The database will contain three containers named coll1, coll2 and coll3. The coll1 container will have unpredictable read and write volumes. The col!2 and coll3 containers will have predictable read and write volumes. The expected maximum throughput for coll1 and coll2 is 50,000 request units per second (RU/s) each.

How should you provision the collection while minimizing costs?

Show Answer Hide Answer
Correct Answer: B

Azure Cosmos DB offers two different capacity modes: provisioned throughput and serverless1. Provisioned throughput mode allows you to configure a certain amount of throughput (expressed in Request Units per second or RU/s) that is provisioned on your databases and containers.You get billed for the amount of throughput you've provisioned, regardless of how many RUs were consumed1. Serverless mode allows you to run your database operations without having to configure any previously provisioned capacity.You get billed for the number of RUs that were consumed by your database operations and the storage consumed by your data1.

To create a database that minimizes costs, you should consider the following factors:

The read and write volumes of your containers

The predictability and variability of your traffic

The latency and throughput requirements of your application

The geo-distribution and availability needs of your data

Based on these factors, one possible option that you could choose isB. Create a provisioned throughput account. Set the throughput for coll1 to Autoscale. Set the throughput for coll2 and coll3 to Manual.

This option has the following advantages:

It allows you to handle unpredictable read and write volumes for coll1 by using Autoscale, which automatically adjusts the provisioned throughput based on the current load1.

It allows you to handle predictable read and write volumes for coll2 and coll3 by using Manual, which lets you specify a fixed amount of provisioned throughput that meets your performance needs1.

It allows you to optimize your costs by paying only for the throughput you need for each container1.

It allows you to enable geo-distribution for your account if you need to replicate your data across multiple regions1.

This option also has some limitations, such as:

It may not be suitable for scenarios where all containers have intermittent or bursty traffic that is hard to forecast or has a low average-to-peak ratio1.

It may not be optimal for scenarios where all containers have low or sporadic traffic that does not justify provisioned capacity1.

It may not support availability zones or multi-master replication for your account1.

Depending on your specific use case and requirements, you may need to choose a different option.For example, you could use a serverless account if all containers have low or sporadic traffic that does not require predictable performance or geo-distribution1.Alternatively, you could use a provisioned throughput account with Manual for all containers if all containers have stable and consistent traffic that requires predictable performance or geo-distribution1.


Question No. 4

You need to create a data store for a directory of small and medium-sized businesses (SMBs). The data store must meet the following requirements:

* Store companies and the users employed by them. Each company will have less than 1,000 users.

* Some users have data that is greater than 2 KB.

* Associate each user to only one company.

* Provide the ability to browse by company.

* Provide the ability to browse the users by company.

* Whenever a company or user profile is selected, show a details page for the company and all the related users.

* Be optimized for reading data.

Which design should you implement to optimize the data store for reading data?

Show Answer Hide Answer
Correct Answer: B

Azure Cosmos DB is a multi-model database that supports various data models, such as documents, key-value, graph, and column-family3.The core content-model of Cosmos DB's database engine is based on atom-record-sequence (ARS), which allows it to store and query different types of data in a flexible and efficient way3.

To optimize the data store for reading data, you should consider the following factors:

The size and shape of your data

The frequency and complexity of your queries

The latency and throughput requirements of your application

The trade-offs between storage efficiency and query performance

Based on these factors, one possible design that you could implement isB. In a company container, create a document for each company. Embed the users into company documents. Use the company ID as the partition key.

This design has the following advantages:

It stores companies and users as self-contained documents that can be easily retrieved by company ID1.

It avoids storing redundant data or creating additional containers for users1.

It allows you to browse by company and browse the users by company with simple queries1.

It shows a details page for the company and all the related users by fetching a single document1.

It leverages the benefits of embedding data, such as reducing the number of requests, improving query performance, and simplifying data consistency2.

This design also has some limitations, such as:

It may not be suitable for some users who have data that is greater than 2 KB, as it could exceed the maximum document size limit of 2 MB2.

It may not be optimal for scenarios where users need to be associated with more than one company or queried independently from companies2.

It may not be scalable for companies that have more than 1,000 users, as it could result in hot partitions or throttling2.

Depending on your specific use case and requirements, you may need to adjust this design or choose a different one.For example, you could use a hybrid data model that combines embedding and referencing data2, or you could use a graph data model that expresses entities and relationships as vertices and edges.


Question No. 5

You have a container in an Azure Cosmos DB for NoSQL account that stores data about orders. The following is a sample of an order document.

Documents are up to 2 KB.

You plan to receive one million orders daily.

Customers will frequently view then past order history.

You are the evaluating whether to use orderDate as the partition key.

What are two effects of using orderDate as the partition key? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Show Answer Hide Answer
Correct Answer: B, D

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