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This exam measures your ability to accomplish the following technical tasks: design and implement data models; design and implement data distribution; integrate an Azure Cosmos DB solution; optimize an Azure Cosmos DB solution; and maintain an Azure Cosmos DB solution.

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The Microsoft DP-420 Certification Exam costs around 165 USD.

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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.

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:

Section	Weight	Objectives
Integrate an Azure Cosmos DB solution	5-10%	- Enable analytical workloads 1. Query analytical store from Synapse 2. Configure Azure Cosmos DB Mirroring 3. Write data back from Spark 4. Enable analytical store - Implement solutions across services 1. Implement Azure AI Search integration 2. Enforce referential integrity 3. Use Change Feed for denormalization 4. Aggregate and archive data 5. Integrate Azure Functions and Event Hubs
Design and implement data models	35-40%	- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL 1. Store multiple related entities in the same document 2. Reference between documents 3. Denormalize data across documents 4. Identify data and associated access patterns 5. Identify partition key, id, and unique keys 6. Store multiple entity types in the same container - Plan and implement sizing and scaling 1. Evaluate global distribution costs 2. Evaluate throughput and storage requirements 3. Configure throughput 4. Choose between serverless, provisioned, and free tier 5. Design resource governance and scaling - Implement data access 1. Manage transactional batch operations 2. Implement patch operations 3. Implement optimistic concurrency control 4. Use SDKs for CRUD operations 5. Implement SQL queries with arrays and aggregation 6. Use consistency and query request options - Design a data partitioning strategy 1. Evaluate cross-partition query cost 2. Choose a partition key 3. Evaluate throughput and data distribution 4. Choose a partitioning strategy 5. Implement synthetic partition keys 6. Plan for transactions with partition keys - Implement server-side programming 1. Implement user-defined functions 2. Implement triggers 3. Write and deploy stored procedures - Implement client connectivity options 1. Implement singleton client 2. Choose gateway or direct connectivity mode 3. Create database connections 4. Configure client-side threading and logging 5. Use Azure Cosmos DB emulator 6. Handle connection errors
Maintain an Azure Cosmos DB solution	25-30%	- Monitor and troubleshoot Azure Cosmos DB solutions 1. Troubleshoot throughput issues 2. Implement backup and recovery strategies 3. Monitor performance and availability 4. Monitor metrics and logs
Optimize an Azure Cosmos DB solution	15-20%	- Define and implement indexing strategy 1. Optimize index performance 2. Choose appropriate index types 3. Configure custom indexing policies 4. Implement composite indexes 5. Choose read-heavy or write-heavy indexing - Design and implement change feeds 1. Develop Azure Functions triggers 2. Implement aggregation persistence 3. Consume change feeds using SDK 4. Manage change feed instances - Optimize query performance 1. Adjust indexing policies 2. Implement integrated cache 3. Calculate query cost 4. Retrieve request unit cost
Design and implement data distribution	5-10%	- 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. Choose when to distribute data 3. Choose a consistency model 4. Evaluate consistency model impacts 5. Define automatic failover policies