Free Microsoft DP-420 Exam Questions
Absolute Free DP-420 Exam Practice for Comprehensive Preparation
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Microsoft DP-420 Exam Questions
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Provided By: Microsoft
- Exam: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
- Certification: Microsoft Certified Azure Cosmos DB Developer Specialty
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Total Questions: 291
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Updated On: Sep 02, 2026
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Rated: 4.9 |
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Online Users: 582
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Question 1
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You plan to create an Azure Cosmos DB for NoSQL account that will have a single write region and three read regions.
You need to set the consistency level for the account. The solution must meet the following requirements:
• In the write region, writes must replicate synchronously across at least three replicas.
• In the read regions, reads must see writes in order for transactional batches.
• Throughput for reads and writes must be maximized.
Which consistency level should you select?
Answer: A
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You plan to create an Azure Cosmos DB for NoSQL account that will have a single write region and three read regions.
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Question 2
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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.
Answer: A,C
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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.
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Question 3
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You have an Azure Cosmos DB Core (SQL) API account that is used by 10 web apps.
You need to analyze the data stored in the account by using Apache Spark to create machine learning models.
The solution must NOT affect the performance of the web apps.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,D
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You have an Azure Cosmos DB Core (SQL) API account that is used by 10 web apps.
You need to analyze the data stored in the account by using Apache Spark to create machine learning models.
The solution must NOT affect the performance of the web apps.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
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Question 4
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You are working on an app that will save the device metrics produced every minute by various IoT devices. You decide to collect the data for two entities; the devices and the device metrics produced by each device. You were about to create two containers for these identified entities but suddenly your data engineer suggests you place both entities in a single container, not two different containers. You would like to be able to track the general data of the device and the number of metrics collections per device. How could we keep track of these entities inside the container?
Answer: B
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You are working on an app that will save the device metrics produced every minute by various IoT devices. You decide to collect the data for two entities; the devices and the device metrics produced by each device. You were about to create two containers for these identified entities but suddenly your data engineer suggests you place both entities in a single container, not two different containers. You would like to be able to track the general data of the device and the number of metrics collections per device. How could we keep track of these entities inside the container?
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Question 5
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You need to implement an Azure Data Factory data flow that will utilize an Azure Cosmos DB (SQL API) sink to write a dataset. The data flow will utilize 2000 Apache Spark partitions.
You need to make sure that the ingestion from every Spark partition is balanced to optimize throughput. Which of the following sink setting would you configure?
Answer: B
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You need to implement an Azure Data Factory data flow that will utilize an Azure Cosmos DB (SQL API) sink to write a dataset. The data flow will utilize 2000 Apache Spark partitions.