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Microsoft DP-420 Exam Syllabus Topics:

Section	Weight	Objectives
Maintain an Azure Cosmos DB solution	25-30%	- Monitor and troubleshoot Azure Cosmos DB solutions 1. Troubleshoot throughput issues 2. Monitor metrics and logs 3. Implement backup and recovery strategies 4. Monitor performance and availability
Integrate an Azure Cosmos DB solution	5-10%	- Enable analytical workloads 1. Query analytical store from Synapse 2. Write data back from Spark 3. Configure Azure Cosmos DB Mirroring 4. Enable analytical store - Implement solutions across services 1. Enforce referential integrity 2. Integrate Azure Functions and Event Hubs 3. Use Change Feed for denormalization 4. Aggregate and archive data 5. Implement Azure AI Search integration
Design and implement data distribution	5-10%	- Design and implement replication strategy 1. Choose a consistency model 2. Evaluate consistency model impacts 3. Choose when to distribute data 4. Define automatic failover policies 5. Perform manual failovers - 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 data models	35-40%	- Implement client connectivity options 1. Handle connection errors 2. Choose gateway or direct connectivity mode 3. Create database connections 4. Configure client-side threading and logging 5. Use Azure Cosmos DB emulator 6. Implement singleton client - 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 server-side programming 1. Implement user-defined functions 2. Implement triggers 3. Write and deploy stored procedures - Design and implement a non-relational data model for Azure Cosmos DB for NoSQL 1. Store multiple entity types in the same container 2. Identify data and associated access patterns 3. Reference between documents 4. Identify partition key, id, and unique keys 5. Denormalize data across documents 6. Store multiple related entities in the same document - Design a data partitioning strategy 1. Evaluate cross-partition query cost 2. Choose a partition key 3. Plan for transactions with partition keys 4. Choose a partitioning strategy 5. Implement synthetic partition keys 6. Evaluate throughput and data distribution - Implement data access 1. Implement patch operations 2. Implement optimistic concurrency control 3. Use SDKs for CRUD operations 4. Use consistency and query request options 5. Manage transactional batch operations 6. Implement SQL queries with arrays and aggregation
Optimize an Azure Cosmos DB solution	15-20%	- Optimize query performance 1. Implement integrated cache 2. Adjust indexing policies 3. Calculate query cost 4. Retrieve request unit cost - 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 - Define and implement indexing strategy 1. Choose appropriate index types 2. Configure custom indexing policies 3. Choose read-heavy or write-heavy indexing 4. Optimize index performance 5. Implement composite indexes

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q180-Q185):

NEW QUESTION # 180
Hotspot Question
You have an Azure Cosmos DB container named container1.
You need to insert an item into container1. The solution must ensure that the item is deleted automatically after two hours.
How should you complete the item definition? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

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?

A. The account will be configured for multi-region writes.
B. A manual failover will occur.
C. The account will be unavailable to writes during the change.
D. The provisioned throughput for account1 will increase.

Answer: C

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 a database in an Azure Cosmos DB Core (SQL) API account. The database is backed up every two hours.
You need to implement a solution that supports point-in-time restore.
What should you do first?

A. Create a new account that has a periodic backup policy.
B. Configure the Backup & Restore settings for the account.
C. Configure the Point In Time Restore settings for the account.
D. Enable Continuous Backup for the account.

Answer: D

NEW QUESTION # 183
You need to provide a solution for the Azure Functions notifications following updates to con-product. The solution must meet the business requirements and the product catalog requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Configure the trigger for each function to use a different leaseCollectionPrefix
B. Configure the trigger for each function to use the same leaseCollectionNair.e
C. Configure the trigger for each function to use the same leaseCollectionPrefix
D. Configure the trigger for each function to use a different leaseCollectionName

Answer: A,D

Explanation:
Explanation
leaseCollectionPrefix: when set, the value is added as a prefix to the leases created in the Lease collection for this Function. Using a prefix allows two separate Azure Functions to share the same Lease collection by using different prefixes.
Scenario: Use Azure Functions to send notifications about product updates to different recipients.
Trigger the execution of two Azure functions following every update to any document in the con-product container.
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-cosmosdb-v2-trigger

NEW QUESTION # 184
You have an Azure Cosmos DB for NoSQL database named DB1 that hosts a container named Container1.
You have a global ecommerce app named App1 that writes and reads order data from Container1 in real time.
The metrics for DB1 show that many requests return the following error message.
HTTP StatusCode 429 (RequestRateTooLarge)
You need to recommend a solution to reduce the number of requests that return a 429 error. The solution must minimize costs.
What should you recommend?

A. In the code of App1, increase the maximum retry attempts for failed requests.
B. Add a spatial index.
C. Add a composite index.
D. Integrate a cache.

Answer: C

Explanation:
To minimize HTTP 429 (RequestRateTooLarge) errors while keeping costs low in a real-time, read/write global Azure Cosmos DB for NoSQL application, you should add a composite index.
Reduces Read Costs (RUs): If your global application runs queries containing a WHERE clause with multiple properties or utilizes ORDER BY on multiple fields, standard single-property indexing is highly inefficient. A composite index allows Cosmos DB to resolve these complex queries instantly, slashing the consumed Request Units (RUs) per query.
Mitigates 429 Errors: By dramatically lowering the RU consumption of your queries, your database stays well under its provisioned or autoscale throughput limits, effectively preventing rate-limiting (429) spikes.
Keeps Overall Costs Low: The alternative to fixing query performance is scaling up the container's overall RU/s threshold, which scales up costs exponentially. A composite index targets the root cause safely without expensive over-provisioning.
Reference:
https://learn.microsoft.com/en-us/answers/questions/5659021/indexing-strategy-for-cosmos-db

NEW QUESTION # 185
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