Interactive DP-420 Practice Exam & DP-420 Study Reference

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The modern Microsoft world is changing its dynamics at a fast pace. To stay updated and competitive you have to learn these technological changes. With the one Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420) certification exam you can do this easily. The Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420) certification exam offers a unique and quick way to learn new in-demand expertise and enhance your knowledge.

Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q159-Q164):

NEW QUESTION # 159
You need to recommend indexes for con-product and con-productVendor. The solution must meet the product catalog requirements and the business requirements.
Which type of index should you recommend for each container? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 160
You have an Azure Cosmos DB for NoSQL database that hosts a container named Container1 For Container1. the DefaultTimeToLive property is -1.
You insert an item into Container1. The property of the inserted item is 10O0. When will the item be deleted automatically?

Answer: D


NEW QUESTION # 161
You have a container in an Azure Cosmos DB Core (SQL) API account.
You need to use the Azure Cosmos DB SDK to replace a document by using optimistic concurrency.
What should you include in the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.cosmos.itemrequestoptions
https://cosmosdb.github.io/labs/dotnet/labs/10-concurrency-control.html


NEW QUESTION # 162
You have an app that stores data in an Azure Cosmos DB Core (SQL) API account The app performs queries that return large result sets.
You need to return a complete result set to the app by using pagination. Each page of results must return 80 items.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation

Step 1: Configure the MaxItemCount in QueryRequestOptions
You can specify the maximum number of items returned by a query by setting the MaxItemCount. The MaxItemCount is specified per request and tells the query engine to return that number of items or fewer.
Box 2: Run the query and provide a continuation token
In the .NET SDK and Java SDK you can optionally use continuation tokens as a bookmark for your query's progress. Azure Cosmos DB query executions are stateless at the server side and can be resumed at any time using the continuation token.
If the query returns a continuation token, then there are additional query results.
Step 3: Append the results to a variable
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/sql-query-pagination


NEW QUESTION # 163
You have an Azure Cosmos DB for NoSQL account.
You plan 10 create a container named container1. The container1 container will store items that include two properties named nm 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 poky? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection Is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 164
......

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