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Microsoft DP-420 Korean Exam Syllabus Topics:

SectionWeightObjectives
Design and implement data distribution5-10%- Design and implement replication strategy
  • 1. Choose a consistency model
  • 2. Evaluate consistency model impacts
  • 3. Choose when to distribute data
  • 4. Define automatic failover policies
  • 5. Perform manual failovers
- Design and implement multi-region writes
  • 1. Implement conflict resolution policies
  • 2. Choose when to use multi-region writes
  • 3. Implement multi-region writes
Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot Azure Cosmos DB solutions
  • 1. Troubleshoot throughput issues
  • 2. Monitor performance and availability
  • 3. Monitor metrics and logs
  • 4. Implement backup and recovery strategies
Optimize an Azure Cosmos DB solution15-20%- Design and implement change feeds
  • 1. Consume change feeds using SDK
  • 2. Implement aggregation persistence
  • 3. Develop Azure Functions triggers
  • 4. Manage change feed instances
- Optimize query performance
  • 1. Implement integrated cache
  • 2. Adjust indexing policies
  • 3. Calculate query cost
  • 4. Retrieve request unit cost
- Define and implement indexing strategy
  • 1. Optimize index performance
  • 2. Configure custom indexing policies
  • 3. Implement composite indexes
  • 4. Choose appropriate index types
  • 5. Choose read-heavy or write-heavy indexing
Integrate an Azure Cosmos DB solution5-10%- Implement solutions across services
  • 1. Implement Azure AI Search integration
  • 2. Use Change Feed for denormalization
  • 3. Integrate Azure Functions and Event Hubs
  • 4. Enforce referential integrity
  • 5. Aggregate and archive data
- Enable analytical workloads
  • 1. Enable analytical store
  • 2. Write data back from Spark
  • 3. Configure Azure Cosmos DB Mirroring
  • 4. Query analytical store from Synapse
Design and implement data models35-40%- 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. Identify partition key, id, and unique keys
  • 2. Reference between documents
  • 3. Store multiple related entities in the same document
  • 4. Store multiple entity types in the same container
  • 5. Denormalize data across documents
  • 6. Identify data and associated access patterns
- Implement data access
  • 1. Implement SQL queries with arrays and aggregation
  • 2. Manage transactional batch operations
  • 3. Implement patch operations
  • 4. Use consistency and query request options
  • 5. Use SDKs for CRUD operations
  • 6. Implement optimistic concurrency control
- Plan and implement sizing and scaling
  • 1. Design resource governance and scaling
  • 2. Configure throughput
  • 3. Choose between serverless, provisioned, and free tier
  • 4. Evaluate global distribution costs
  • 5. Evaluate throughput and storage requirements
- Design a data partitioning strategy
  • 1. Evaluate throughput and data distribution
  • 2. Evaluate cross-partition query cost
  • 3. Choose a partition key
  • 4. Plan for transactions with partition keys
  • 5. Implement synthetic partition keys
  • 6. Choose a partitioning strategy
- Implement client connectivity options
  • 1. Handle connection errors
  • 2. Choose gateway or direct connectivity mode
  • 3. Implement singleton client
  • 4. Use Azure Cosmos DB emulator
  • 5. Configure client-side threading and logging
  • 6. Create database connections

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