Exam DP-420 Reference - Training DP-420 Online

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Microsoft DP-420 Exam Syllabus Topics:

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

>> Exam DP-420 Reference <<

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q149-Q154):

NEW QUESTION # 149
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 # 150
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:

Explanation
Box 1 = On (no default)For con-iot1, you need to configure the default TTL setting to On (no default), which means that items in this container do not expire by default, but you can override the TTL value on a per-item basis. This meets the requirement of retaining all telemetry data unless overridden1.
Box 2 = On (3600 seconds)For con-iot2, you need to configure the default TTL setting to On (3600 seconds), which means that items in this container will expire 3600 seconds (one hour) after their last modified time. This meets the requirement of deleting all telemetry data older than one hour1.


NEW QUESTION # 151
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 # 152
You have a database named db1 in an Azure Cosmos DB f You have a third-party application that is exposed thro You need to migrate data from the application to a What should you use?

Answer: B

Explanation:
Explanation
you can migrate data from various data sources to Azure Cosmos DB using different tools and methods. The choice of the migration tool depends on factors such as the data source, the Azure Cosmos DB API, the size of data, and the expected migration duration1. Some of the common migration tools are:
Azure Cosmos DB Data Migration tool: This is an open source tool that can import data to Azure Cosmos DB from sources such as JSON files, MongoDB, SQL Server, CSV files, and Azure Cosmos DB collections. This tool supports the SQL API and the Table API of Azure Cosmos DB2.
Azure Data Factory: This is a cloud-based data integration service that can copy data from various sources to Azure Cosmos DB using connectors. This tool supports the SQL API, MongoDB API, Cassandra API, Gremlin API, and Table API of Azure Cosmos DB3.
Azure Cosmos DB live data migrator: This is a command-line tool that can migrate data from one Azure Cosmos DB container to another container within the same or different account. This tool supports live migration with minimal downtime and works with any Azure Cosmos DB API4.
For your scenario, if you want to migrate data from a third-party application that is exposed through an OData endpoint to a container in Azure Cosmos DB for NoSQL, you should use Azure Data Factory. Azure Data Factory has an OData connector that can read data from an OData source and write it to an Azure Cosmos DB sink using the SQL API5. You can create a copy activity in Azure Data Factory that specifies the OData source and the Azure Cosmos DB sink, and run it on demand or on a schedule.


NEW QUESTION # 153
You have an Azure Cosmos DB for NoSQL container named Contacts that is configured as shown in the following exhibit.

Contacts contains the items shown in the following table.

To Contacts, you plan to insert the items shown in the following table.

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 # 154
......

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