Microsoft DP-420 Exam Questions For Greatest Achievement [Updated 2026]

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Microsoft DP-420 Exam Syllabus Topics:

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

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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Sample Questions (Q94-Q99):

NEW QUESTION # 94
You have an Azure Cosmos DB for NoSQL account named account! that has a periodic backup policy with a four-hour backup interval and an eight-hour retention period. The account account contains a single database named db1 and containers that have stored procedures.
An administrator deletes db1 accidentally.
You need to ensure that the contents of db1, including all of its items, is available as soon as possible.
How should you perform the procedure? To answer, drag the missing actions to the correct order. Each action 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:

NEW QUESTION # 95
You have a database named telemetry in an Azure Cosmos DB Core (SQL) API account that stores IoT data.
The database contains two containers named readings and devices.
Documents in readings have the following structure.
id
deviceid
timestamp
ownerid
measures (array)
- type
- value
- metricid
Documents in devices have the following structure.
id
deviceid
owner
- ownerid
- emailaddress
- name
brand
model
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: Yes
Need to join readings and devices.
Box 2: No
Only readings is required. All required fields are in readings.
Box 3: No
Only devices is required. All required fields are in devices.

NEW QUESTION # 96
You plan to store order data in Azure Cosmos DB for NoSQL account. The data contains information about orders and their associated items.
You need to develop a model that supports order read operations. The solution must minimize the number or requests.

A. Create a single database that contains one container. Store orders and order items in separate documents in the container.
B. Create a single database that contains a container for order and a container for order items.
C. Create a single database that contains one container. Create a separate document for each order and embed the order items into the order documents.
D. Create a database for orders and a database for order items.

Answer: C

Explanation:
Azure Co smos DB is a multi-model database that supports various data models, such as documents, key- value, graph, and column-family 3 . The core content-model of Cosmos DB's database engine is based on atom-record-sequence (ARS), which allows it to store and query differ ent types of data in a flexible and efficient way 3 .
To develop a model that supports order read operations and minimizes the number of requests, you should consider the following factors:
* The size and shape of your data
* The frequency and complexity of your queries
* The latency and throughput requirements of your application
* The trade-offs between storage efficiency and query performance
Based on these factors, one possible model that you could implement is B. Create a single database that contains one container. Create a separate document for each order and embed the order items into the order documents .
This model has the following advantages:
* It stores orders and order items as self-contained documents that can be easily retrieved by order ID 1 .
* It avoids storing redundant data or creating additional containers for order items 1 .
* It allows you to view the order history of a customer with simple queries 1 .
* It leverages the benefits of embedding data, such as reducing the number of requests, im proving query performance, and simplifying data consistency 2 .
This model also has some limitations, such as:
* It may not be suitable for some order items that have data that is greater than 2 KB, as it could exceed the maximum document size limit of 2 MB 2 .
* It may not be optimal for scenarios where order items need to be queried independently from orders or ag gregated by other criteria 2 .
* It may not support transactions across multiple orders or customers, as transactions are scoped to a single logical partition 2 .
Depending on your specific use case and requirements, you may need to adjust this model or choose a different one. For example, you could use a hybrid data model that combines embedding and referencing data
2 , or you could use a graph data model that expresses entities and relationships as vertices and edges.

NEW QUESTION # 97
You have an Azure subscription. The subscription contains an Azure Cosmos DB for NoSQL account named account1 that uses strong consistency and is deployed to the East US, West US, and Central US Azure regions.
The round-trip time (RTT) between the regions is shown in the following table.

Which write latency should you estimate for write requests against account1?

A. 572 ms
B. 150 ms
C. 232 ms
D. 282 ms

Answer: D

Explanation:
Calculate two times the maximum round-trip time (RTT) + 10 ms overhead.
In this scenario this would be 2 x 136 ms + 10 ms, which is 282 ms.
Note: For an Azure Cosmos DB account with strong consistency and multiple regions, write latency is approximately two times the round-trip time (RTT) between the two farthest regions.
This is because a write must be committed to all regions to be considered complete, requiring the data to be sent to the farthest region and then confirmed back to the originating region.
Calculation and factors Core calculation: The write latency is essentially 2 x RTT + constanst overhead. For example, if the RTT between the two farthest regions is 50 ms, the write latency would be roughly 2 x 50 ms + overhead=100 ms + overhead.
Overhead: In practice, you must also add a small constant overhead, which is approximately 10 ms at the 99th percentile for strong consistency, to account for the time it takes for the write to be acknowledged after the data reaches all replicas.
Reference:
https://learn.microsoft.com/en-us/azure/networking/azure-network-latency

NEW QUESTION # 98
You have an Azure subscription that contains the resources shown in the following table.

In CosmosDB1, you plan to create a container named Container1 that will store sensitive data.
You need to ensure that Container1 uses Always Encrypted for Azure Cosmos DB.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:

NEW QUESTION # 99
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