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Here is the registration process of the Microsoft DP-420 Certification Exam

The registration process for the Microsoft DP-420 Certification Exam is very simple and straightforward. You just need to follow the steps given in the DP-420 Dumps. These steps are also given below to get registered for the DP-420 Certification Exam:

Fill in the required details like name, email, and password. After that, enter the required information like your country, your exam center, and your exam date.
Go to the official website of Microsoft. Click on the “Schedule Exam”, which will take you to the Exam Registration Page.
Finally, click on the “Register Now” button. You will get a confirmation mail from Microsoft with a link to take the DP-420 Certification Exam. Take the DP-420 Certification Exam at the specified date and time, with the Pearson Vue.

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

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What are the prerequisites to take the Microsoft DP-420 Certification Exam?

There are no prerequisites for the Microsoft DP-420 Certification Exam.

Microsoft DP-420 Exam Syllabus Topics:

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