Microsoft Certified Power Platform Functional Consultant Associate · Free Practice Question Easy
Question 46
AI Builder is a Power Platform capability that helps you improve your business performance by automating processes and predicting outcomes. By using AI Builder, you can quickly bring AI to your apps and flows that connect to your business data that is stored in the underlying data platform (Microsoft Dataverse) or in various cloud data sources, such as SharePoint, OneDrive, or Azure.
Suppose you have customized a model by using the guided experience. What is the final step that you must take before you can use it?
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A
Save it
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B
Create it
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C
Publish it
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D
Train it
Reveal correct answer
Correct answer: C
Explanation
A model must be published before it can be used.
After creating your AI Builder model, you can use it in Power Apps and Power Automate.
View your model details
After your model has completed training, you can view important details about your newly trained model on a details page for that model. The information might vary depending on the model type.
On the model details page, you can see the customizations that you made to train your model. In some cases, it shows additional insights on the training performance. Some model types give you the opportunity to quickly test your model to see it live in action.
You can access this page at any time from the left menu by selecting AI Builder → Models and then searching for your model name.
Publish your model
Your model can't be used until it is published. If you are satisfied with your model, select Publish to make it available.
Three main ways that you can use your model are:
As a component in an app
As an action in a flow
As new data in your database
When your model is published, select Use model to see a list of the available actions that you can take to use your model.
Use your model in an app
In the Use your model pane, select Create new app, which appears if your model type supports it.
This selection redirects you to the canvas app creation experience, with the AI Builder component already added to your canvas and your model automatically linked to the component.
You can add AI Builder components to your existing apps at any time by selecting the Insert tab and then select the component from the AI Builder menu.
Use your model in a flow
In the Use your model pane, select Create new flow, which appears if your model type supports it.
This selection redirects you to the flow template page in Power Automate. Confirm the connections and then select Continue.
In the flow creation experience, you'll find the AI Builder action already added to your flow, and your model automatically linked to the action.
You can add the AI Builder action to solution-aware flows by searching for the Predict action under Microsoft Dataverse and then selecting your model name from the Model drop-down menu.
Use your model in your database
Some model types write the intelligence back to your database, so you can use it in your data views in Power Apps or Power BI.
After you have published your model, some model types automatically begin scheduling the model to write data back to your database by default. For others, you can customize the scheduling. In the Use your model pane, select the Set run schedule to define the frequency. This option appears when the model supports it.
A. Saving the model is a necessary step during the customization process to ensure that your progress is preserved. However, saving the model alone does not make it available for use in apps and flows. The final step before using the customized model is to publish it.
B. Creating the model is the initial step in the process of customizing an AI model using the guided experience. Once the model has been created and customized, the final step is to publish it to make it usable within the Power Platform.
C. Publishing the customized model is the final step required before you can use it. This step makes the model available for consumption by apps and flows within the Power Platform environment, allowing you to leverage the AI capabilities in your business processes effectively.
D. Training the model is an essential part of the customization process to ensure that it can make accurate predictions or automate processes effectively. However, training the model is not the final step before using it. The final step is to publish the customized model to make it accessible for integration with apps and flows.
Discussion
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