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The DP-420 certification exam covers various topics, including Azure Cosmos DB data modeling, partitioning, consistency, and throughput. Candidates will be tested on their ability to design and implement Cosmos DB solutions using various APIs and programming languages such as SQL, MongoDB, Cassandra, and Azure Table API. They will also be expected to understand how to integrate Cosmos DB with other Azure services and implement security, backup, and recovery strategies.

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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:

  • 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.
  • Go to the official website of Microsoft. Click on the “Schedule Exam”, which will take you to the Exam Registration Page.
  • 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.

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The DP-420 exam is intended for solution architects, developers, and database administrators who have experience working with Azure Cosmos DB and want to showcase their skills in designing and implementing cloud-native applications using this technology. Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version) certification exam tests the candidate's ability to design and implement containers, partitions, and indexes in Azure Cosmos DB to optimize performance, scalability, and cost.

The Microsoft DP-420-KR exam tests the candidate’s knowledge and skills in various topics such as designing and implementing data access patterns using Cosmos DB, designing and implementing partitioning strategies, designing and implementing global distribution, and designing and implementing disaster recovery and data synchronization. DP-420-KR exam also tests the candidate’s knowledge and skills in developing and implementing serverless and container-based applications using Cosmos DB.

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:

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

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