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Hit the link below, to know more about the Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (beta)

Official link of the Microsoft DP-420 Certification Exam

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:

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.
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.

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