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Microsoft DP-420 Exam Syllabus Topics:

SectionWeightObjectives
Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot Azure Cosmos DB solutions
  • 1. Monitor metrics and logs
  • 2. Troubleshoot throughput issues
  • 3. Monitor performance and availability
  • 4. Implement backup and recovery strategies
Design and implement data distribution5-10%- Design and implement multi-region writes
  • 1. Implement multi-region writes
  • 2. Implement conflict resolution policies
  • 3. Choose when to use multi-region writes
- Design and implement replication strategy
  • 1. Choose when to distribute data
  • 2. Choose a consistency model
  • 3. Evaluate consistency model impacts
  • 4. Define automatic failover policies
  • 5. Perform manual failovers
Design and implement data models35-40%- Implement server-side programming
  • 1. Write and deploy stored procedures
  • 2. Implement user-defined functions
  • 3. Implement triggers
- 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
- Plan and implement sizing and scaling
  • 1. Design resource governance and scaling
  • 2. Configure throughput
  • 3. Evaluate global distribution costs
  • 4. Evaluate throughput and storage requirements
  • 5. Choose between serverless, provisioned, and free tier
- 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
- Design a data partitioning strategy
  • 1. Plan for transactions with partition keys
  • 2. Evaluate cross-partition query cost
  • 3. Implement synthetic partition keys
  • 4. Choose a partition key
  • 5. Evaluate throughput and data distribution
  • 6. Choose a partitioning strategy
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
  • 1. Denormalize data across documents
  • 2. Store multiple entity types in the same container
  • 3. Reference between documents
  • 4. Identify partition key, id, and unique keys
  • 5. Identify data and associated access patterns
  • 6. Store multiple related entities in the same document
Optimize an Azure Cosmos DB solution15-20%- 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. Retrieve request unit cost
  • 2. Implement integrated cache
  • 3. Calculate query cost
  • 4. Adjust indexing policies
- Define and implement indexing strategy
  • 1. Configure custom indexing policies
  • 2. Implement composite indexes
  • 3. Choose read-heavy or write-heavy indexing
  • 4. Optimize index performance
  • 5. Choose appropriate index types
Integrate an Azure Cosmos DB solution5-10%- Enable analytical workloads
  • 1. Enable analytical store
  • 2. Query analytical store from Synapse
  • 3. Write data back from Spark
  • 4. Configure Azure Cosmos DB Mirroring
- Implement solutions across services
  • 1. Use Change Feed for denormalization
  • 2. Enforce referential integrity
  • 3. Implement Azure AI Search integration
  • 4. Integrate Azure Functions and Event Hubs
  • 5. Aggregate and archive data

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q18-Q23):

NEW QUESTION # 18
You have an Azure Cosmos DB for NoSQL account.
The change feed is enabled on a container named invoice.
You create an Azure function that has a trigger on the change feed.
What is received by the Azure function?

Answer: D

Explanation:
All properties are sent to the change feed. This is testable by creating an Azure Function with CosmosDB input trigger.


NEW QUESTION # 19
You have an Azure Cosmos DB container named container! that has a provisioned throughput and two physical partitions. You monitor the following metrics for container1
* Normalized RU consumption
* The percentage of requests that have an HTTP status code of 429
You need to confirm that container1 is configured to maximize resource utilization.
What are the optimal values for each metric? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 20
You plan to implement con-iot1 and con-iot2.
You need to configure the default Time to Live setting for each container. The solution must meet the loT telemetry requirements.
What should you configure? To answer, select the appropriate options in the answer NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 21
Hotspot Question
You have an Azure Cosmos DB for NoSQL database that hosts a container named Container1.
Container1 stores order details, including the following properties:
- OrderNumber (a number)
- OrderDate (a date)
You need to write a query that returns the following for each order:
- OrderNumber
- PeriodDate (as the first day of the calendar year based on orderDate) How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point

Answer:

Explanation:


NEW QUESTION # 22
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sett might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named conlainer1 in an Azure Cosmos DB for NoSQL account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure function to copy data to another Azure Cosmos DB for NoSQL container.
Does this meet the goal?

Answer: A


NEW QUESTION # 23
......

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