DP-420考試資訊 - DP-420認證考試解析

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Microsoft DP-420 考試大綱:

主題簡介
主題 1
  • 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.
主題 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.
主題 3
  • 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.
主題 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.
主題 5
  • 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.

Microsoft DP-420考試由多選題和基於性能的實驗室組成。該考試涵蓋了各種主題,包括設計和實施容器,設計和實施Azure Cosmos DB數據庫,數據訪問和數據存儲。該考試還涵蓋了與安全、監視和疑難解答Azure Cosmos DB應用程序相關的主題。

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熱門的DP-420考試資訊和有效的Microsoft認證培訓 - 100%合格率Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB

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最新的 Azure Cosmos DB Developer Specialty DP-420 免費考試真題 (Q138-Q143):

問題 #138
You need to select the capacity mode and scale configuration for account2 to support the planned changes and meet the business requirements. What should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

答案:

解題說明:

Explanation:


問題 #139
You have an Azure-hosted solution named App1 that contains the following components:
* An Azure Cosmos DB for NoSQL account that has two containers named Orders and Reporting
* An Azure Functions app that contains the following functions:
o Function1: Uses an Azure Cosmos DS trigger that reacts the change feed from Orders and writes aggregated sales data to Reporting o function2: Reads the change feed from Orders to populate a search index Both functions use the change feed in latest version mode.
In Appl. order cancelations trigger a hard delete of the order item from the Orders container. During peak periods, the same tern can be updated multiple times within a short interval.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案:

解題說明:

Explanation:


問題 #140
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?

答案:C

解題說明:
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


問題 #141
Hotspot Question
You have an Azure Cosmos DB for NoSQL account named account1 in a resource group named RG1. The Azure regions for account1 are shown in the following table.

You need to fail over account1 from the East US region to the Central US region by using Azure Command-Line Interface (CLI).
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

答案:

解題說明:


問題 #142
You plan to deploy two Azure Cosmos DB Core (SQL) API accounts that will each contain a single database.
The accounts will be configured as shown in the following table.

How should you provision the containers within each account to minimize costs? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

答案:

解題說明:

Explanation:

Box 1: Serverless capacity mode
Azure Cosmos DB serverless best fits scenarios where you expect intermittent and unpredictable traffic with long idle times. Because provisioning capacity in such situations isn ' t required and may be cost-prohibitive, Azure Cosmos DB serverless should be considered in the following use-cases:
Getting started with Azure Cosmos DB
Running applications with bursty, intermittent traffic that is hard to forecast, or low ( < 10%) average-to-peak traffic ratio Developing, testing, prototyping and running in production new applications where the traffic pattern is unknown Integrating with serverless compute services like Azure Functions Box 2: Provisioned throughput capacity mode and autoscale throughput The use cases of autoscale include:
Variable or unpredictable workloads: When your workloads have variable or unpredictable spikes in usage, autoscale helps by automatically scaling up and down based on usage. Examples include retail websites that have different traffic patterns depending on seasonality; IOT workloads that have spikes at various times during the day; line of business applications that see peak usage a few times a month or year, and more. With autoscale, you no longer need to manually provision for peak or average capacity.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/serverless
https://docs.microsoft.com/en-us/azure/cosmos-db/provision-throughput-autoscale#use-cases-of-autoscale


問題 #143
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