DRAG DROP -
A bank uses Power Platform apps and flows to support business processes.
The company would like to use historical client data to predict whether a client's loan application is likely to be approved or rejected.
You need to use AI Builder to implement the solution.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:
Step 1: Import data into Common Data Service.
AI Builder requires the use of Common Data Service, which is the data platform for PowerApps and allows you to store and manage business data. Common Data
Service is the platform on which Dynamics 365 apps are built so if you're a Dynamics 365 customer, your data is already in Common Data Service.
Step 2: Train the model -
Step 3: Publish the model -
The last step is to publish your model.
Step 4: Use the model in PowerApps or Power Automate.
Reference:
https://docs.microsoft.com/en-us/ai-builder/build-model
Import > Train > Publish > Use
The answer is correct
Correct
correct!
The answer is correct.
sequence: Export data into AI Builder. Train the model. Publish the model. Use the model in Power Apps or Power Automate.
Import Train Publish Use
Answer is very correct. This question is an aspect of AI 900
Given the limitation of only having four spaces for the solution, we can skip the step of “Export data into AI Builder.” While exporting data is essential for preparing the model, it’s possible to work with existing data directly within AI Builder without an explicit export step. Copilot ^
Import > Export > Train > Publish "you cannot directly use data in Microsoft Dataverse for AI Builder model training without exporting it first. While Dataverse serves as the underlying data storage for AI Builder, the model training process requires a specific export step to prepare the data." - Bard
answer is correct
have logic, answer ok!