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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q112-Q117):

NEW QUESTION # 112
You have a container named container1 in an Azure Cosmos DB for NoSQL account named account1.
You configure container1 to use Always Encrypted by using an encryption policy as shown in the C# and the Java exhibits. (Click the C# tab to view the encryption policy in C#. Click the Java tab to see the encryption policy in Java.)


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:
According to the Azure Cosmos DB documentation 1 , Always Encrypted is a feature designed to protect sensitive data, such as credit card numbers or national identification numbers, stored in Azure Cosmos DB.
Always Encrypted allows clients to encrypt sensitive data inside client applications and never reveal the encryption keys to the database.
To use Always Encrypted, you need to define an encryption policy for each container that specifies which properties should be encrypted and which data encryption keys (DEK) should be used. The DEKs are stored in Azure Cosmos DB and are wrapped by customer-managed keys (CMK) that are stored in Azure Key Vault.
Based on the encryption policy shown in the exhibits, the creditcard property is encrypted with a DEK named dek1, and the SSN property is encrypted with a DEK named dek2. Both DEKs are wrapped by a CMK named cmk1.
To answer your statements:
* You can perform a query that filters on the creditcard property = No . This is because the creditcard property is encrypted and cannot be used for filtering or sorting operations 1 .
* You can perform a query that filters on the SSN property = No . This is also because the SSN property is encrypted and cannot be used for filtering or sorting operations 1 .
* An application can be allowed to read the creditcard property while being restricted from reading the SSN property = Yes . This is possible by using different CMKs to wrap different DEKs and applying access policies on the CMKs in Azure Key Vault. For example, if you use cmk2 to wrap dek2 instead of cmk1, you can grant an application access to cmk1 but not cmk2, which means it can read the creditcard property but not the SSN property 2 .


NEW QUESTION # 113
Hotspot Question
You plan to create an Azure Cosmos DB database named db1 that will contain two containers.
One of the containers will contain blog posts, and the other will contain users. Each item in the blog post container will include:
- A single blog post
- All the comments associated to the blog post
- The names of the users who created the blog post and added the
comments
You need to design a solution to update usernames in the user container without causing data integrity issues. The solution must minimize administrative and development effort.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 114
You maintain a relational database for a book publisher. The database contains the following tables.

The most common query lists the books for a given authorId.
You need to develop a non-relational data model for Azure Cosmos DB Core (SQL) API that will replace the relational database. The solution must minimize latency and read operation costs.
What should you include in the solution?

Answer: A

Explanation:
Store multiple entity types in the same container.


NEW QUESTION # 115
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 # 116
Hotspot Question
You have an Azure Cosmos DB for NoSQL account.
You plan to create a container named container1. The container1 container will store items that include two properties named name and age.
The most commonly executed queries will query container1 for a specific name. The following is a sample of the query.

You need to define an opt-in indexing policy for container1. The solution must meet the following requirements:
- Minimize the number of request units consumed by the queries.
- Ensure that the _etag property is excluded from indexing.
How should you define the indexing policy? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 117
......

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