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Microsoft DP-420試験は、Azure Cosmos DBと協力する開発者、建築家、およびIT専門家に適しています。この試験に合格した候補者は、Azure Cosmos DBアーキテクチャ、クラウドネイティブアプリケーションの設計原則、およびそれらを実装および展開するためのベストプラクティスを完全に理解します。

Microsoft DP-420: Microsoft Azure Cosmos DBを使用したクラウドネイティブアプリケーションの設計と実装の試験は、Microsoft Azure Cosmos DBを使用してクラウドネイティブアプリケーションを開発および実装する能力を測定する認定試験です。この試験は、クラウドでスケーラブルで効率的に機能する分散アプリケーションの構築と管理のスキルと知識を試験するように設計されています。

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Microsoft DP-420 認定試験の出題範囲：

トピック出題範囲
トピック 1
  • Design and Implement Data Distribution: Microsoft developers delve into designing replication strategies and implementing multi-region writes for Azure Cosmos DB. These skills ensure high availability, fault tolerance, and enhanced global performance for distributed applications, making them vital for enterprise-grade solutions.
トピック 2
  • Maintain an Azure Cosmos DB Solution: This section covers monitoring, troubleshooting, and securing Azure Cosmos DB solutions. Developers master backup and restore procedures, implement data movement, and streamline processes using DevOps. These skills ensure operational reliability and safeguard data integrity in production environments.
トピック 3
  • Optimize an Azure Cosmos DB Solution: Developers gain expertise in optimizing query performance using Azure Cosmos DB for NoSQL APIs, implementing change feeds, and crafting effective indexing strategies. This topic ensures solutions are performant, scalable, and adaptive to evolving data requirements, enhancing application responsiveness.
トピック 4
  • Design and Implement Data Models: This topic equips Microsoft developers to design and implement non-relational data models for Azure Cosmos DB for NoSQL, emphasizing partitioning strategies, database sizing, and scaling. Developers master connectivity using the Azure Cosmos DB SDK and SQL language for NoSQL, ensuring seamless data access. Additionally, server-side programming with JavaScript empowers robust solutions tailored to specific application needs.
トピック 5
  • Integrate an Azure Cosmos DB Solution: This topic focuses on enabling analytical workloads and integrating Azure Cosmos DB across services. Developers learn to leverage cross-service integrations for cohesive solutions, driving advanced analytics and operational efficiency in cloud-native applications.

Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB 認定 DP-420 試験問題 (Q189-Q194):

質問 # 189
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.

正解：A、B

解説：
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
Topic 2, Mix Questions
Mix Questions
DP-420 Mix Questions IN THIS CASE STUDY


質問 # 190
You have an Azure subscription. The subscription contains an Azure Cosmos DB for NoSQL account named account1 that hosts a container named Container1. Container1 has a provisioned throughput of 100 request units per second (RU/s) and uses a single physical partition.
You are evaluating the available throughput for Container1.
What is the maximum burst capacity that Container1 can accumulate?

正解：A

解説：
Azure Cosmos DB containers can accumulate burst capacity when they are under-utilized.
Containers that have provisioned throughput and are using a single physical partition can accumulate up to 5 minutes' worth of their provisioned throughput in burst capacity, up to a maximum of 300 RU/s per physical partition.
Given that Container1 has a provisioned throughput of 100 RU/s and uses a single physical partition, it can accumulate up to 300 RU/s in burst capacity (3 times the provisioned throughput).
This burst capacity can be used during short periods of increased load when the container needs more throughput than is provisioned.


質問 # 191
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Cosmos DB Core (SQL) API account named account 1 that uses autoscale throughput.
You need to run an Azure function when the normalized request units per second for a container in account1 exceeds a specific value.
Solution: You configure the function to have an Azure CosmosDB trigger.
Does this meet the goal?

正解：B

解説：
Instead configure an Azure Monitor alert to trigger the function.
You can set up alerts from the Azure Cosmos DB pane or the Azure Monitor service in the Azure portal.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/create-alerts


質問 # 192
You have a container named contained in an Azure Cosmos DB for NoSQL account.
The following is a sample of a document in container1.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:


質問 # 193
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure Data Factory pipeline that uses Azure Cosmos DB Core (SQL) API as the input and Azure Blob Storage as the output.
Does this meet the goal?

正解：B

解説：
Instead create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
The Azure Cosmos DB change feed is a mechanism to get a continuous and incremental feed of records from an Azure Cosmos container as those records are being created or modified. Change feed support works by listening to container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The following diagram represents the data flow and components involved in the solution:

Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/changefeed-ecommerce-solution


質問 # 194
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