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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q187-Q192):

NEW QUESTION # 187
You have a database in an Azure Cosmos DB Core (SQL) API account.
You need to create an Azure function that will access the database to retrieve records based on a variable named accountnumber. The solution must protect against SQL injection attacks.
How should you define the command statement in the function?

Answer: C

Explanation:
Azure Cosmos DB supports queries with parameters expressed by the familiar @ notation. Parameterized SQL provides robust handling and escaping of user input, and prevents accidental exposure of data through SQL injection.
For example, you can write a query that takes lastName and address.state as parameters, and execute it for various values of lastName and address.state based on user input.
SELECT *
FROM Families f
WHERE f.lastName = @lastName AND f.address.state = @addressState


NEW QUESTION # 188
You have an Azure Cosmos DB for NoSQL account that has multiple write regions.
You need to receive an alert when requests that target the database exceed the available request units per second (RU/s).
Which Azure Monitor signal should you use?

Answer: D

Explanation:
Metric Metadata Requests: Count of metadata requests. Azure Cosmos DB maintains system metadata container for each account, that allows you to enumerate collections, databases, etc., and their configurations, free of charge.
Used to monitor throttles due to metadata requests.
Incorrect:
Not A: Metric Data Usage: Total data usage reported at 5-minutes granularity per region. Used to monitor total data usage at container and region, minimum granularity should be 5 minutes.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/monitor-cosmos-db-reference#metrics


NEW QUESTION # 189
You have a database in an Azure Cosmos DB for NoSQL account that is configured for multi-region writes.
You need to use the Azure Cosmos DB SDK to implement the conflict resolution policy for a container. The solution must ensure that any conflict sent to the conflict feed.
Solution: You set ConfilictResolutionMode to Custom and you use the default settings for the policy.
Does this meet the goal?

Answer: A

Explanation:
Setting ConflictResolutionMode to Custom and using the default settings for the policy will not ensure that conflicts are sent to the conflict feed. You need to define a custom stored procedure using the "conflictingItems" parameter to handle conflicts properly.


NEW QUESTION # 190
You have an Azure subscription that contains a resource group named RG1. RG1 contains an Azure Cosmos DB for NoSQL account named account1.
You plan to audit changes to the control plane of account1.
You need to ensure that audit events include the details of the security principal that performs each control plane change.
How should you complete the az command? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 191
You have an Azure subscription. The subscription contains an Azure Cosmos DB for NoSQL account named account1 that hosts a container named Container1. Container1 has a provisioned throughput of 100 request units per second (RU/s) and uses a single physical partition.
You are evaluating the available throughput for Container1.
What is the maximum burst capacity that Container1 can accumulate?

Answer: A

Explanation:
Azure Cosmos DB containers can accumulate burst capacity when they are under-utilized.
Containers that have provisioned throughput and are using a single physical partition can accumulate up to 5 minutes' worth of their provisioned throughput in burst capacity, up to a maximum of 300 RU/s per physical partition.
Given that Container1 has a provisioned throughput of 100 RU/s and uses a single physical partition, it can accumulate up to 300 RU/s in burst capacity (3 times the provisioned throughput).
This burst capacity can be used during short periods of increased load when the container needs more throughput than is provisioned.


NEW QUESTION # 192
......

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