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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q248-Q253):

NEW QUESTION # 248
The settings for a container in an Azure Cosmos DB Core (SQL) API account are configured as shown in the following exhibit.

Which statement describes the configuration of the container?

Answer: A

Explanation:
When DefaultTimeToLive is -1 then your Time to Live setting is On (No default) Time to Live on a container, if present and the value is set to "-1", it is equal to infinity, and items don't expire by default.
Time to Live on an item:
This Property is applicable only if DefaultTimeToLive is present and it is not set to null for the parent container.
If present, it overrides the DefaultTimeToLive value of the parent container.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/time-to-live


NEW QUESTION # 249
You have an Azure Cosmos DB for NoSQL database named db1 that is monitored by using Azure Monitor.
You need to identify the operations that have the highest throughput.
Which metric should you use?

Answer: C

Explanation:
Use the Total Request Units metric to identify which operations consume the highest throughput.
This metric tracks Request Unit (RU) usage and can be broken down by operation type using dimensions.
How to Analyze Throughput by Operation
To see which specific actions (like Create, Read, or Query) are driving costs:
Metric Name: Select Total Request Units.
Aggregation: Use Sum to see total consumption over time or Avg to see per-minute usage.
Apply Splitting: Split the chart by the OperationType dimension.
Filtering: Add filters for DatabaseName or CollectionName to isolate specific parts of your NoSQL database.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/monitor-request-unit-usage


NEW QUESTION # 250
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 # 251
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL database named DB1. The shared throughput provisioned for DB1 is 10,000 DTU/s. DB1 contains the containers shown in the following table.

You need to modify the throughput for the containers. The solution must meet the following requirements:
* The maximum throughput for Container1 must be 4,000 DTU/s.
* The throughput for Contained must be shared across the containers.
* Administrative effort must be minimized.
What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 252
You have an Azure Cosmos DB account named account1.
You need to access account1 from an on-premises environment by using a Site-to-Site VPN.
What should you use?

Answer: C

Explanation:
A private endpoint allows you to access Azure services, including Azure Cosmos DB, privately from within an Azure virtual network. By configuring a private endpoint for the Azure Cosmos DB account, you can connect to the account using private IP addresses and ensure that the data transfer occurs securely over the Site-to-Site VPN between the on-premises network and the Azure virtual network.
With a private endpoint, the data traffic from the on-premises environment to Azure Cosmos DB remains within the private network and does not traverse the public internet, enhancing security and isolation.


NEW QUESTION # 253
......

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