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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q130-Q135):

NEW QUESTION # 130
You plan to deploy two Azure Cosmos DB Core (SQL) API accounts that will each contain a single database.
The accounts will be configured as shown in the following table.

How should you provision the containers within each account to minimize costs? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: Serverless capacity mode
Azure Cosmos DB serverless best fits scenarios where you expect intermittent and unpredictable traffic with long idle times. Because provisioning capacity in such situations isn ' t required and may be cost-prohibitive, Azure Cosmos DB serverless should be considered in the following use-cases:
Getting started with Azure Cosmos DB
Running applications with bursty, intermittent traffic that is hard to forecast, or low ( < 10%) average-to-peak traffic ratio Developing, testing, prototyping and running in production new applications where the traffic pattern is unknown Integrating with serverless compute services like Azure Functions Box 2: Provisioned throughput capacity mode and autoscale throughput The use cases of autoscale include:
Variable or unpredictable workloads: When your workloads have variable or unpredictable spikes in usage, autoscale helps by automatically scaling up and down based on usage. Examples include retail websites that have different traffic patterns depending on seasonality; IOT workloads that have spikes at various times during the day; line of business applications that see peak usage a few times a month or year, and more. With autoscale, you no longer need to manually provision for peak or average capacity.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/serverless
https://docs.microsoft.com/en-us/azure/cosmos-db/provision-throughput-autoscale#use-cases-of-autoscale


NEW QUESTION # 131
You have an Azure Cosmos DB Core (SQL) API account named storage1 that uses provisioned throughput capacity mode.
The storage1 account contains the databases shown in the following table.

The databases contain the containers 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:

Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/plan-manage-costs
https://azure.microsoft.com/en-us/pricing/details/cosmos-db/


NEW QUESTION # 132
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 # 133
You have an Azure Cosmos DB Core (SQL) API account named account1.
In account1, you run the following query in a container that contains 100GB of data.
SELECT *
FROM c
WHERE LOWER(c.categoryid) = "hockey"
You view the following metrics while performing the query.

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:


NEW QUESTION # 134
You have an Azure Cosmos DB Core (SQL) API account that is configured for multi-region writes. The account contains a database that has two containers named container1 and container2.
The following is a sample of a document in container1:
{
"customerId": 1234,
"firstName": "John",
"lastName": "Smith",
"policyYear": 2021
}
The following is a sample of a document in container2:
{
"gpsId": 1234,
"latitude": 38.8951,
"longitude": -77.0364
}
You need to configure conflict resolution to meet the following requirements:
For container1 you must resolve conflicts by using the highest value for policyYear.
For container2 you must resolve conflicts by accepting the distance closest to latitude: 40.730610 and longitude: -73.935242.
Administrative effort must be minimized to implement the solution.
What should you configure for each container? To answer, drag the appropriate configurations to the correct containers. Each configuration may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box 1: Last Write Wins (LWW) (default) mode
Last Write Wins (LWW): This resolution policy, by default, uses a system-defined timestamp property. It's based on the time-synchronization clock protocol.
Box 2: Merge Procedures (custom) mode
Custom: This resolution policy is designed for application-defined semantics for reconciliation of conflicts.
When you set this policy on your Azure Cosmos container, you also need to register a merge stored procedure.
This procedure is automatically invoked when conflicts are detected under a database transaction on the server. The system provides exactly once guarantee for the execution of a merge procedure as part of the commitment protocol.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/conflict-resolution-policies
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-manage-conflicts


NEW QUESTION # 135
......

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