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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q99-Q104):

NEW QUESTION # 99
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL database named DB1.
You develop a software as a service (SaaS) app named App1 that uses DB1. App1 will be used by multiple vendors to manage their customers.
You need to create a container in DB1 that will store customer and order details for each vendor.
The solution must meet the following requirements:
- Each vendor must have a unique tenant ID.
- The performance of the container must be optimized for reads.
- Customer IDs can be duplicated across the container but must be
unique for each vendor.
- The container must be optimized for concurrent queries from multiple
customers. Each query will return data for a single vendor.
How should you configure the container?

Answer: A

Explanation:
For this multi-tenant SaaS scenario, you should use a hierarchical partition key and a unique key policy.
Partitioning Strategy: Hierarchical Partition Key
A hierarchical partition key (subpartitioning) is the optimal choice for your requirements.
Structure: Define the hierarchy as /TenantId followed by /CustomerId.
Why it meets your needs:
Single Vendor Scope: Since every query returns data for a single vendor, including TenantId as the first level of the hierarchy ensures all related data is logically grouped and queries are efficiently routed to the correct partitions.
Scale Beyond 20 GB: Standard partition keys limit a single logical partition (e.g., one vendor) to
20 GB. Hierarchical partitioning allows a single TenantId to scale across multiple physical partitions, supporting larger vendors without hitting storage limits.
Read Optimization: It optimizes concurrent queries from multiple customers by distributing the workload of a single large vendor across different subpartitions.
Reference:
https://devblogs.microsoft.com/cosmosdb/scaling-multi-tenant-go-applications-choosing-the-right-database-partitioning-approach/


NEW QUESTION # 100
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 # 101
You have an Azure Cosmos DB account named account1 that has a default consistency level of session.
You have an app named App1.
You need to ensure that the read operations of App1 can request either bounded staleness or consistent prefix consistency.
What should you modify for each consistency level? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 102
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 # 103
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:

Explanation

Box 1: No
Each physical partition should have its own index, but since no index is used, the query is not cross-partition.
Box 2: No
Index utilization is 0% and Index Look up time is also zero.
Box 3: Yes
A partition key index will be created, and the query will perform across the partitions.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-query-container


NEW QUESTION # 104
......

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