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Skills measured

Maintain an Azure Cosmos DB solution (25–30%)
Design and implement data models (35–40%)
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.
Integrate an Azure Cosmos DB solution (5–10%)
Design and implement data distribution (5–10%)
Optimize an Azure Cosmos DB solution (15–20%)

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