最省時最高效的學習方法
我們的AB-410練習材料有三種不同版本:PDF,軟件版本和APP在線版本。它們為不同的考生提供了選擇其研究方法的可能性。如果您是辦公室工作人員,您可以在地鐵或公交車上學習AB-410真實考試的在線版本;如果你是一名學生,你可以在排隊吃飯時復習;如果你是家庭主婦,你可以在孩子睡覺時學習。同時,我們的學習資料支持離線學習,避免了沒有網絡就無法學習的情況。同時,使用AB-410測試引擎進行審核,讓您從標題中就能查看知識點,不僅可以讓您更深刻地記住知識點,還可以讓您避免閱讀書籍的枯燥過程。
AB-410練習材料不僅適用於學生,也適用於上班族;不僅適用於工作的退伍軍人,也適用於新招募的新人。我們的學習材料使用非常簡單易懂的語言,以確保所有人都能學習和理解。 AB-410真正的考試也可以讓你避免課本閱讀的枯燥,但讓你掌握練習過程中的所有重要知識。選擇AB-410測試引擎的原因如下。
保證100%通過
我們相信所有購買AB-410練習材料的學生只要能夠按照我們的學習材料提供的內容,每天進行學習,並通過模擬考試定期自我檢驗,就能順利通過專業資格考試。一旦您不幸使用我們的AB-410真實考試題庫未通過考試,我們將全額退款。退款流程非常簡單。只要您向員工提供您的成績單,您很快就會收到退款。當然,在您購買之前,我們的學習資料將為您提供免費試用服務,只要您登錄我們的網站,您就可以免費下載我們的試用版。我相信在您嘗試AB-410測試引擎後,您會愛上它們。
語言易於理解
作為一個行業新人,專業書籍中那些難以理解的單詞和表達常常讓你感到懊惱,但AB-410練習材料將幫助你完美地解決這個問題。由學習材料聘請的行業專家,將通過示例,圖表等解釋所有難以理解的專業詞彙。 AB-410實際測試中使用的所有語言都非常簡單易懂。使用我們的學習資料,您不必擔心您無法理解解專業書籍的內容。你也不需要花費昂貴的學費去輔導班。 AB-410測試引擎可以幫助您解決學習中的所有問題。
Microsoft AB-410 考試大綱主題:
| 章節 | 權重 | 目標 |
|---|---|---|
| 主題 1: 建立商業應用程式邏輯和自動化 | 40-45% | - 建立雲端流程
|
| 主題 2: 建立智慧應用程式 | 25-30% | - 建立畫布應用程式
|
| 主題 3: 為智慧應用程式建立基礎 | 25-30% | - 在 Dataverse 中建立資料模型
|
最新的 Microsoft Certified: Dynamics 365 Sales AI Consultant Associate AB-410 免費考試真題:
1. A company is designing an AI-enabled solution to help employees review and evaluate customer requests.
The company requires an AI summary to be generated at runtime by using instructions provided by the company, including tone, structure, and required data fields. The Prompt control will use these instructions on Power Apps forms across multiple tables.
You need to store the instructions.
Which component should you use?
A) AI Builder custom prompt
B) Power Platform AI model
C) Dataverse prompt column
D) Dataverse business rule
2. An accounting team is assigned to a model-driven app to manage financial data.
The app is currently visible in the app launcher but inaccessible to the accounting team.
Users must be able to:
- Open the app.
- Access and record financial data.
You need to resolve the access issues.
What should you do?
A) Grant the users table-level permissions to the required tables.
B) Set the app as the default app for the users.
C) Configure app visibility privileges for the users.
D) Assign users the appropriate security roles.
3. Case Study 2 - Fabrikam Inc
Background
Fabrikam Inc. is an energy provider that operates wind and solar farms across multiple countries and regions. The company uses Microsoft Power Platform to manage asset maintenance, technician workflows, and predictive analytics.
Field technicians use canvas apps on mobile devices to capture inspection and repair data.
Operations managers use model-driven apps to monitor asset performance and maintenance history.
The company plans to enhance its platform by introducing AI-driven insights, improving reuse across applications, and establishing a formal application lifecycle management (ALM) strategy.
Current environment
Applications
Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.
Operations managers use a model-driven app to review maintenance records and asset performance trends.
Development practices
Developers build and modify applications directly in the production environment.
There is NO structured ALM process.
Solutions are NOT consistently used to package or deploy application components.
Reusable components are inconsistently implemented across apps, leading to duplication.
AI integration
Fabrikam Inc. plans to actively explore generative AI usage as part of the next phase of work.
Business requirement
Application development
The outdated mobile app must be replaced with a new app that supports responsive design principles, provides full control over the UI, and allows technicians to take and upload photos directly from their mobile devices.
The new app for the field technicians requires the name of the technician to be persisted on the home screen only. In addition, work orders must be displayed within a gallery.
All new apps must connect to a scalable, cloud-based relational data store.
Apps must support efficient data entry for technicians in the field.
Reusable UI elements must be implemented to reduce duplication.
AI capabilities
The company requires a generative AI solution to manage customer complaint responses and create custom inspection reports that align to an existing template.
Customer complaint responses must be generated in applications and based on emails being sent to a mailbox.
Custom AI development must be minimized.
Generative AI reusability
Generative AI solutions must accept dynamic inputs to adapt to different scenarios.
Generative AI solutions must be reusable across different Power Platform services.
Extensibility
Custom UI form components must be reusable across applications.
Use of server-side custom code must be minimized where possible.
Technical requirements
Application lifecycle management (ALM)
Separate environments must be used for development, testing, and production.
Solutions must be used to package application components, segmented based on functional areas.
Managed solutions must be deployed to the production environment.
Validation must occur before deployment to production.
Data processing
Aggregated values across related rows must be displayed for reporting.
Calculations must update automatically as new data is entered. Calculation data must be limited to a maximum length of 10.
Issues
Duplicate logic exists across multiple canvas apps.
Developers frequently overwrite changes in production.
Generative AI solutions produce inconsistent outputs due to missing or inconsistent inputs.
Maintenance metrics are not consistently calculated across related rows.
You need to resolve the issues with the canvas apps.
Which two configurations should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A) Context variable
B) Named formula
C) Component library
D) User-defined function
E) Collection
4. A company develops an AI chatbot using Azure OpenAI. Security administrators require that customer data must not be used to train public foundation models. Which statement correctly describes Azure OpenAI data handling?
A) Customer prompts automatically train OpenAI public models
B) Customer data remains isolated from public model training
C) Fine-tuning data becomes publicly searchable
D) All prompts are shared with external users
5. A company maintains a Power Platform solution that includes prompts, cloud flows, and Dataverse components. Multiple development teams are responsible for different features within the solution.
The development teams have the following requirements:
- Teams must develop and update the same features independently.
- Updates must not overwrite changes made by other teams.
- Production deployments must remain controlled and predictable.
You need to recommend an ALM approach that supports independent development and controlled deployment in line with Microsoft best practices.
What should you recommend?
A) Create unmanaged solutions in production. Merge changes during deployment.
B) Make changes in a single solution. Deploy updates directly to production.
C) Create and maintain separate solutions in a single development environment. Deploy independently as managed solutions.
D) Create and maintain separate solutions in a separate development environment. Deploy independently as managed solutions.
問題與答案:
| 問題 #1 答案: A | 問題 #2 答案: D | 問題 #3 答案: C,D | 問題 #4 答案: B | 問題 #5 答案: D |
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