What are the prerequisites to take the Microsoft DP-420 Certification Exam?
There are no prerequisites for the Microsoft DP-420 Certification Exam.
Following is the info about the Passing Score, Duration & Questions for the Microsoft DP-420 Exam
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:
- The passing scores: 70%
- Time Duration: 60 minutes
- Languages: English
- Number of Questions: 40-60
Here is the easiest way to get prepared for the Microsoft DP-420 Certification Exam
You can get ready for taking the Microsoft DP-420 Certification Exam by following the steps mentioned here. You should always make a study plan for the Microsoft DP-420 Certification Exam. You should know the exam objectives and syllabus. The candidate should also know the previous question and answer of the DP-420 Certification Exam. You should prepare the questions and answers of the DP-420 Certification Exam by referring to the study materials. After that, you should always make a mock test for the Microsoft DP-420 Certification Exam. You should take a mock test before the actual exam.
You can also use DP-420 Dumps. It will help you to get a clear idea about your preparation. You should also take a mock test periodically. You should also compare your performance with other candidates. It will help you to get a clear idea about your preparation. In the end, you should practice the DP-420 Certification Exam by using the practice test software. It will help you to get a clear idea about your preparation. You should also practice the questions and answers of the DP-420 Certification Exam. You should try to solve the questions as soon as you finish reading the question.
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 |
| 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. Troubleshoot throughput issues
- 4. Monitor performance and availability
|
| Optimize an Azure Cosmos DB solution | 15-20% | - Define and implement indexing strategy
- 1. Choose appropriate index types
- 2. Configure custom indexing policies
- 3. Implement composite indexes
- 4. Choose read-heavy or write-heavy indexing
- 5. Optimize index performance
- Design and implement change feeds
- 1. Develop Azure Functions triggers
- 2. Manage change feed instances
- 3. Consume change feeds using SDK
- 4. Implement aggregation persistence
- Optimize query performance
- 1. Adjust indexing policies
- 2. Implement integrated cache
- 3. Calculate query cost
- 4. Retrieve request unit cost
|
| Design and implement data distribution | 5-10% | - Design and implement multi-region writes
- 1. Choose when to use multi-region writes
- 2. Implement multi-region writes
- 3. Implement conflict resolution policies
- 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
|
| Integrate an Azure Cosmos DB solution | 5-10% | - Implement solutions across services
- 1. Implement Azure AI Search integration
- 2. Use Change Feed for denormalization
- 3. Enforce referential integrity
- 4. Integrate Azure Functions and Event Hubs
- 5. Aggregate and archive data
- Enable analytical workloads
- 1. Write data back from Spark
- 2. Query analytical store from Synapse
- 3. Enable analytical store
- 4. Configure Azure Cosmos DB Mirroring
|
| Design and implement data models | 35-40% | - Implement data access
- 1. Implement optimistic concurrency control
- 2. Manage transactional batch operations
- 3. Implement SQL queries with arrays and aggregation
- 4. Use consistency and query request options
- 5. Use SDKs for CRUD operations
- 6. Implement patch operations
- Plan and implement sizing and scaling
- 1. Choose between serverless, provisioned, and free tier
- 2. Evaluate global distribution costs
- 3. Design resource governance and scaling
- 4. Configure throughput
- 5. Evaluate throughput and storage requirements
- Implement server-side programming
- 1. Write and deploy stored procedures
- 2. Implement user-defined functions
- 3. Implement triggers
- Design a data partitioning strategy
- 1. Evaluate throughput and data distribution
- 2. Choose a partitioning strategy
- 3. Evaluate cross-partition query cost
- 4. Plan for transactions with partition keys
- 5. Choose a partition key
- 6. Implement synthetic partition keys
- Implement client connectivity options
- 1. Choose gateway or direct connectivity mode
- 2. Use Azure Cosmos DB emulator
- 3. Handle connection errors
- 4. Configure client-side threading and logging
- 5. Implement singleton client
- 6. Create database connections
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
- 1. Denormalize data across documents
- 2. Identify data and associated access patterns
- 3. Identify partition key, id, and unique keys
- 4. Store multiple related entities in the same document
- 5. Reference between documents
- 6. Store multiple entity types in the same container
|