Microsoft DP-420 Valid Q&A - in .pdf

  • DP-420 pdf
  • Exam Code: DP-420
  • Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
  • Updated: Oct 15, 2026
  • Q & A: 281 Questions and Answers
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Microsoft DP-420 Valid Q&A - Testing Engine

  • DP-420 Testing Engine
  • Exam Code: DP-420
  • Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
  • Updated: Oct 15, 2026
  • Q & A: 281 Questions and Answers
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Exam DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB

Candidates for this exam must have solid knowledge and experience developing apps for Azure and working with Azure Cosmos DB database technologies. They should be proficient at developing applications by using the Core (SQL) API and SDKs, writing efficient queries and creating appropriate index policies, provisioning and managing resources in Azure, and creating server-side objects with JavaScript. They should be able to interpret JSON, read C# or Java code, and use PowerShell.

The English language version of this exam will be updated on August 4, 2022. Please download the skills measured document below to see what’s changing. If a localized version of this exam is available, it will be updated approximately eight weeks after this date.

Passing score: 700. Learn more about exam scores.

Part of the requirements for: Microsoft Certified: Azure Cosmos DB Developer Specialty

Download exam skills outline

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  • Time Duration: 60 minutes
  • Languages: English
  • Number of Questions: 40-60
  • The passing scores: 70%

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-420?WT.mc_id=Azure_blog-wwl

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Microsoft DP-420 Exam Syllabus Topics:

SectionWeightObjectives
Integrate an Azure Cosmos DB solution5-10%- Enable analytical workloads
  • 1. Configure Azure Cosmos DB Mirroring
  • 2. Query analytical store from Synapse
  • 3. Enable analytical store
  • 4. Write data back from Spark
- Implement solutions across services
  • 1. Enforce referential integrity
  • 2. Integrate Azure Functions and Event Hubs
  • 3. Use Change Feed for denormalization
  • 4. Implement Azure AI Search integration
  • 5. Aggregate and archive data
Design and implement data distribution5-10%- Design and implement multi-region writes
  • 1. Implement conflict resolution policies
  • 2. Implement multi-region writes
  • 3. Choose when to use multi-region writes
- Design and implement replication strategy
  • 1. Perform manual failovers
  • 2. Evaluate consistency model impacts
  • 3. Choose when to distribute data
  • 4. Choose a consistency model
  • 5. Define automatic failover policies
Design and implement data models35-40%- Implement client connectivity options
  • 1. Configure client-side threading and logging
  • 2. Use Azure Cosmos DB emulator
  • 3. Implement singleton client
  • 4. Handle connection errors
  • 5. Create database connections
  • 6. Choose gateway or direct connectivity mode
- Design a data partitioning strategy
  • 1. Choose a partitioning strategy
  • 2. Choose a partition key
  • 3. Implement synthetic partition keys
  • 4. Evaluate throughput and data distribution
  • 5. Evaluate cross-partition query cost
  • 6. Plan for transactions with partition keys
- Plan and implement sizing and scaling
  • 1. Evaluate global distribution costs
  • 2. Choose between serverless, provisioned, and free tier
  • 3. Design resource governance and scaling
  • 4. Evaluate throughput and storage requirements
  • 5. Configure throughput
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
  • 1. Identify data and associated access patterns
  • 2. Store multiple entity types in the same container
  • 3. Denormalize data across documents
  • 4. Reference between documents
  • 5. Identify partition key, id, and unique keys
  • 6. Store multiple related entities in the same document
- Implement server-side programming
  • 1. Write and deploy stored procedures
  • 2. Implement triggers
  • 3. Implement user-defined functions
- Implement data access
  • 1. Implement patch operations
  • 2. Manage transactional batch operations
  • 3. Use consistency and query request options
  • 4. Implement SQL queries with arrays and aggregation
  • 5. Use SDKs for CRUD operations
  • 6. Implement optimistic concurrency control
Optimize an Azure Cosmos DB solution15-20%- Design and implement change feeds
  • 1. Manage change feed instances
  • 2. Consume change feeds using SDK
  • 3. Implement aggregation persistence
  • 4. Develop Azure Functions triggers
- Optimize query performance
  • 1. Implement integrated cache
  • 2. Calculate query cost
  • 3. Retrieve request unit cost
  • 4. Adjust indexing policies
- Define and implement indexing strategy
  • 1. Configure custom indexing policies
  • 2. Choose read-heavy or write-heavy indexing
  • 3. Optimize index performance
  • 4. Implement composite indexes
  • 5. Choose appropriate index types
Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot Azure Cosmos DB solutions
  • 1. Implement backup and recovery strategies
  • 2. Monitor metrics and logs
  • 3. Troubleshoot throughput issues
  • 4. Monitor performance and availability

Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions:

Question #1

You have operational data in an Azure Cosmos DB for NoSQL database.
Database users report that the performance of the database degrades significantly when a business analytics team runs large Apache Spark-based queries against the database.
You need to reduce the impact that running the Spark-based queries has on the database users.
What should you implement?

  • A. the Spark connector
  • B. a default consistency level of Consistent Prefix
  • C. a default consistency level of Strong
  • D. Azure Synapse Link
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for TestValid members. You can sign-up / login (it's free).

Question #2

You are designing an Azure Cosmos DB for NoSQL solution to store data from IoT devices.
Writes from the devices will be occur every second.
The following is a sample of the data.

You need to select a partition key that meets the following requirements for writes:
- Minimizes the partition skew
- Avoids capacity limits
- Avoids hot partitions
What should you do?

  • A. Use timestamp as the partition key
  • B. Use deviceManufacturer as the partition key
  • C. Use sensor1Value as the partition key
  • D. Create a new synthetic key that contains deviceId and timestamp
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for TestValid members. You can sign-up / login (it's free).

Question #3

You have an Azure Cosmos DB for NoSQL account named account1.
In account1, you plan to create a container named container1 that will contain data continuously collected from self-driving cars. The items in container1 will be accessed mostly by using queries that target data collected from a specific car during a given day. Each car is identifiable by using a property named Vehicle-Identification-Number.
You need to identify a partition strategy for container1. The strategy must meet the following requirements:
- Maximize read and write performance.
- Minimize the costs of data reads and writes.
What should you identify?

  • A. Use a partition key based on the current date.
  • B. Use a partition key based on the Vehicle-Identification-Number property.
  • C. Construct a synthetic key by concatenating the current date and a random suffix.
  • D. Construct a synthetic key by concatenating the current date and a hash of the Vehicle- Identification-Number property value.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for TestValid members. You can sign-up / login (it's free).

Question #4

You have an Azure subscription.
You plan to create an Azure Cosmos DB for NoSQL database named DB1 that will store author and book data for authors that have each published up to ten books. Typical and frequent queries of the data will include:
- All books written by an individual author
- The synopsis of individual books
You need to recommend a data model for DB1. The solution must meet the following requirements:
- Support transactional updates of the author and book data.
- Minimize read operation costs.
What should you recommend?

  • A. Create three containers, one that stores author items, a second that stores book items, and a third that stores items that represent the relationship between the authors and their books.
  • B. Create two containers, one that stores author items and another that stores book items. Embed a list of each author's books in the corresponding author item.
  • C. Create a single container that stores author items and book items. Embed a list of each author's books in the corresponding author item.
  • D. Create a single container that stores author items and book items, and then items that represent the relationship between the authors and their books.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for TestValid members. You can sign-up / login (it's free).

Question #5

Hotspot Question
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account. The account hosts two containers named Customers and Sale Transactions. The Customers container stores customer data.
Each customer data item includes a field named numberOfSales that must be updated when an item is added to the SaleTransactions container.
You need to ensure referential integrity between the containers. The solution must meet the following requirements:
- Detect changes to the SaleTransactions container.
- Apply a new aggregate count to the related items in the Customers
container.
What should you use to implement each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:

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