Câu 14: AB-410: Building Intelligent Applications

This is a case study. Case studies are not timed separately from other exam sections. You can use as much exam time as you would like to complete each case study. However, there might be additional case studies or other exam sections. Manage your time to ensure that you can complete all the exam sections in the time provided. Pay attention to the Exam Progress at the top of the screen so you have sufficient time to complete any exam sections that follow this case study. To answer the case study questions, you will need to reference information that is provided in the case. Case studies and associated questions might contain exhibits or other resources that provide more information about the scenario described in the case. Information provided in an individual question does not apply to the other questions in the case study. A Review Screen will appear at the end of this case study. From the Review Screen, you can review and change your answers before you move to the next exam section. After you leave this case study, you will NOT be able to return to it. To start the case study -To display the first question in this case study, select the “Next” button. To the left of the question, a menu provides links to information such as business requirements, the existing environment, and problem statements. Please read through all this information before answering any questions. When you are ready to answer a question, select the “Question” button to return to the question. 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 Current environment -Applications -Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.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 implement a generative AI solution that meets the requirements. Which two actions should you perform? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.

1. A. Use a pre-built model. — đáp án hiện tại
2. B. Use a custom model.
3. C. Start from a blank prompt. — đáp án hiện tại
4. D. Create a prompt from a template.