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- In Sweden: 37,000 SEK
- In the United States: 85,000 USD
- In Germany: 43,000 EUR
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Information about the Passing Score, Duration & Questions for the Microsoft DP-420 Exam is given in the DP-420 Dumps. The overview of that info is as given below:
- Time Duration: 60 minutes
- Languages: English
- The passing scores: 70%
- Number of Questions: 40-60
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-420?WT.mc_id=Azure_blog-wwl
Microsoft DP-420 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Design and implement data models | 35-40% | - Implement data access
- 1. Use consistency and query request options
- 2. Implement optimistic concurrency control
- 3. Manage transactional batch operations
- 4. Use SDKs for CRUD operations
- 5. Implement patch operations
- 6. Implement SQL queries with arrays and aggregation
- Implement server-side programming
- 1. Implement triggers
- 2. Write and deploy stored procedures
- 3. Implement user-defined functions
- Design a data partitioning strategy
- 1. Evaluate throughput and data distribution
- 2. Plan for transactions with partition keys
- 3. Implement synthetic partition keys
- 4. Evaluate cross-partition query cost
- 5. Choose a partitioning strategy
- 6. Choose a partition key
- Plan and implement sizing and scaling
- 1. Evaluate throughput and storage requirements
- 2. Choose between serverless, provisioned, and free tier
- 3. Configure throughput
- 4. Design resource governance and scaling
- 5. Evaluate global distribution costs
- Implement client connectivity options
- 1. Create database connections
- 2. Use Azure Cosmos DB emulator
- 3. Handle connection errors
- 4. Implement singleton client
- 5. Configure client-side threading and logging
- 6. Choose gateway or direct connectivity mode
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
- 1. Identify partition key, id, and unique keys
- 2. Store multiple related entities in the same document
- 3. Store multiple entity types in the same container
- 4. Reference between documents
- 5. Identify data and associated access patterns
- 6. Denormalize data across documents
|
| 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. Troubleshoot throughput issues
- 4. Implement backup and recovery strategies
|
| Topic 3: Integrate an Azure Cosmos DB solution | 5-10% | - Implement solutions across services
- 1. Enforce referential integrity
- 2. Aggregate and archive data
- 3. Use Change Feed for denormalization
- 4. Integrate Azure Functions and Event Hubs
- 5. Implement Azure AI Search integration
- Enable analytical workloads
- 1. Write data back from Spark
- 2. Configure Azure Cosmos DB Mirroring
- 3. Enable analytical store
- 4. Query analytical store from Synapse
|
| Topic 4: Design and implement data distribution | 5-10% | - Design and implement multi-region writes
- 1. Implement multi-region writes
- 2. Choose when to use multi-region writes
- 3. Implement conflict resolution policies
- Design and implement replication strategy
- 1. Evaluate consistency model impacts
- 2. Choose a consistency model
- 3. Define automatic failover policies
- 4. Perform manual failovers
- 5. Choose when to distribute data
|
| Topic 5: Optimize an Azure Cosmos DB solution | 15-20% | - Design and implement change feeds
- 1. Develop Azure Functions triggers
- 2. Implement aggregation persistence
- 3. Manage change feed instances
- 4. Consume change feeds using SDK
- Define and implement indexing strategy
- 1. Optimize index performance
- 2. Choose appropriate index types
- 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. Implement integrated cache
- 4. Adjust indexing policies
|