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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q55-Q60):

NEW QUESTION # 55
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. You Set ResolutionProcedures to a custom stored procedure. You configure the custom stored procedure to use the isTomstone parameter to resolve conflict.
Does this meet the goal?

Answer: B

Explanation:
The solution is incorrect because there is no "isTom" parameter in the Azure Cosmos DB SDK. The correct parameter is "isTombstone".


NEW QUESTION # 56
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account named account1.
You plan to configure the Apache Kafka service as a data source for account1.
What should you use to store the Kafka configuration?

Answer: D

Explanation:
Store and use Azure Cosmos DB credentials with Azure Key Vault
If you're using Azure Cosmos DB as your database, you connect to databases, container, and items by using an SDK, the API endpoint, and either the primary or secondary key.
It's not a good practice to store the endpoint URI and sensitive read-write keys directly within application code or configuration file. Ideally, this data is read from environment variables within the host. In Azure App Service, app settings allow you to inject runtime credentials for your Azure Cosmos DB account without the need for developers to store these credentials in an insecure clear text manner.
Azure Key Vault iterates on this best practice further by allowing you to store these credentials securely while giving services like Azure App Service managed access to the credentials. Azure App Service will securely read your credentials from Azure Key Vault and inject those credentials into your running application.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/store-credentials-key-vault


NEW QUESTION # 57
You have an Azure Cosmos DB for NoSQL container. The container contains items that have the following properties.

You need to protect the data stored in the container by using Always Encrypted. For each property, you must use the strongest type of encryption and ensure that queries execute properly.
What is the strongest type of encryption that you can apply to each property? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1 = Randomized
Box 2 = Deterministic
Always Encrypted for Azure Cosmos DB supports two types of encryption: deterministic and randomized1.
Deterministic encryption always produces the same encrypted value for any given plain text value.
Randomized encryption produces a different encrypted value for the same plain text value.
For dateOfBirth, randomized encryption is the strongest type of encryption because it provides better protection against statistical analysis and brute-force attacks. Deterministic encryption would not be suitable for dateOfBirth because it could reveal patterns or allow equality comparisons1.
For healthStatus, deterministic encryption is the strongest type of encryption because it allows queries to perform equality comparisons and filters on the encrypted property. Randomized encryption would not be suitable for healthStatus because it would prevent any queries on the encrypted property1.


NEW QUESTION # 58
You have a container named contained in an Azure Cosmos DB for NoSQL account.
The following is a sample of a document in container1.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 59
You have a multi-region Azure Cosmos DB account named account1 that has a default consistency level of strong.
You have an app named App1 that is configured to request a consistency level of session.
How will the read and write operations of App1 be handled? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Box 1 = Write and replicate data to every region synchronously
This is because the write concern is mapped to the default consistency level configured on your Azure Cosmos DB account2, which is strong in this case. Strong consistency ensures that every write operation is synchronously committed to every region associated with your Azure Cosmos DB account1. The request level consistency level of session only applies to the read operations of App11.
Box 2: That has the lowest estimated latency to the client
This is because the read operations of App1 will use the session consistency level that is specified in the request options. Session consistency is a client-centric consistency model that guarantees monotonic reads, monotonic writes, and read-your-own-writes within a session. A session is scoped to a client connection or a stored procedure execution. Session consistency allows clients to read from any region that has the lowest latency to the client.


NEW QUESTION # 60
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