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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version) : DP-420 Korean

DP-420 Korean actual test
  • Exam Code: DP-420-KR
  • Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version)
  • Updated: Aug 06, 2026
  • Q & A: 281 Questions and Answers
  • PDF Demo
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  • Total Price: $69.99  

About Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version) : DP-420 Korean Exam

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Following is the info about the Passing Score, Duration & Questions for the Microsoft DP-420 Exam

Information about the Passing Score, Duration & Questions for the Microsoft DP-420 Exam is given in the DP-420 Dumps. The overview of that info is as given below:

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

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Here is everything you need to know about the Microsoft DP-420 Certification Exam

The most reliable way to pass the Microsoft DP-420 Exam

A guide about what you can expect on your DP-420 certification exam and how to pass it

Microsoft DP-420 is a certification exam that examines the knowledge and skills of the candidates for developing web applications for Azure and working with Azure Cosmos DB database technologies. This certification exam is a part of the Microsoft IT Professional certification program and is the final certification exam for Azure SQL Database Administration. Microsoft DP-420 certification exam is a very important exam as it is one of the most common exams that every IT professional needs to pass in order to get a job in a reputable organization. DP-420 Dumps is a very important tool that can help you pass the DP-420 Exam.

DP-420 exam will examine the candidates on their knowledge of Azure SQL Database administration. Candidates will be tested on their knowledge of Azure SQL Database and Azure Cosmos DB technologies. This certification exam will test the candidates on the knowledge of developing, configuring, administering, and managing Azure SQL Database and Azure Cosmos DB technologies. In this study guide, we are going to share a few resources that you can use while preparing for the Microsoft DP-420 Certification Exam. Moreover, we will also discuss the DP-420 exam topics, objectives, syllabus, exam format, and weightage of each section. So, if you are preparing for the DP-420 exam, you must read this study guide carefully.

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What are the objectives of the Microsoft DP-420 Certification Exam?

As per the guidance of the DP-420 Dumps, there are 02 main objectives of the Microsoft DP-420 Certification Exam. The first is to understand Azure Cosmos DB architecture & components, and the second is to understand the design and implementation of cloud-native applications using Microsoft Azure Cosmos DB. Assessment of the candidate's technical knowledge and skills in the field of Azure SQL Database Administration.

Skills measured

  • Optimize an Azure Cosmos DB solution (15–20%)
  • Design and implement data models (35–40%)
  • Maintain an Azure Cosmos DB solution (25–30%)
  • Integrate an Azure Cosmos DB solution (5–10%)
  • Design and implement data distribution (5–10%)
  • The English language version of this exam will be updated on August 4, 2022. Please download the exam skills outline below to see what’s changing.

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

Microsoft DP-420 Korean Exam Syllabus Topics:

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

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