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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q178-Q183):

NEW QUESTION # 178
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 # 179
You have an Azure Cosmos DB Core (SQL) account that has a single write region in West Europe.

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:

Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-multi-master
https://docs.microsoft.com/en-us/azure/cosmos-db/optimize-cost-regions


NEW QUESTION # 180
You have an Azure Cosmos DB for NoSQL account that contains a database named DB1 and a container named Container1.
You need to manage the account by using the Azure Cosmos DB SDK.
What should you do?

Answer: A


NEW QUESTION # 181
You have an Azure Cosmos DB for NoSQL account1 that is configured for automatic failover. The account1 account has a single read-write region in West US and a and a read region in East US.
You run the following PowerShell command.

What is the effect of running the command?

Answer: A

Explanation:
Explanation
You can use the Set-AzCosmosDBAccountRegion cmdlet to update the regions that an Azure Cosmos DB account uses. You can use this cmdlet to add a region or change the region failover order. The cmdlet requires a resource group name, an Azure Cosmos DB account name, and a list of regions in desired failover order1.
For your scenario, based on the PowerShell command, you are using the Set-AzCosmosDBAccountRegion cmdlet to update the regions for an Azure Cosmos DB account named account1 that is configured for automatic failover. The command specifies two regions: West US and East US. The effect of running the command is that the account will be configured for multi-region writes.
Multi-region writes is a feature of Azure Cosmos DB that allows you to write data to any region in your account and have it automatically replicated to all other regions. This feature provides high availability and low latency for write operations across multiple regions. To enable multi-region writes, you need to specify at least two regions in your account and set them as write regions2. In your command, you are setting both West US and East US as write regions by using the -IsZoneRedundant parameter with a value of $true for both regions.


NEW QUESTION # 182
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: A


NEW QUESTION # 183
......

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