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