HOTSPOT A business plans to including AI Builder. Which actions can you perform? For each of the following statements, select Yes if the statement is true. Otherwise, select No.

• Statement 1 is No: An AI Builder text classification model is designed to analyze text and apply tags (categories) based on its meaning. It does not "retrieve" text. Retrieving text from documents or images is the function of the Text Recognition (OCR) model, while retrieving specific data points from text is the function of Entity Extraction. The text classification model requires text to be provided to it (e.g., via a Power Automate connector) to perform the analysis.
• Statement 2 is Yes: This is a primary use case for text classification. You can train a model to analyze unstructured text (like social media posts from Instagram) and apply specific tags (categories) such as product names, sentiment, or topic.
• Statement 3 is Yes: AI Builder is fully integrated with the Power Platform. Results generated by AI Builder (such as tag counts or sentiment scores processed in Power Automate) can be stored in Dataverse or other supported data sources and visualized in Power BI dashboards.

Microsoft Learn. (2023). Overview of the category classification custom model. "AI Builder category classification models categorize text by its meaning so it's easier to analyze... For example, you can use... text classification to... Tag customer issues." [https://learn.microsoft.com/en-us/ai-builder/text-classification-overview]

Microsoft Learn. (2023). Use the text recognition prebuilt model. "The text recognition prebuilt model extracts words from documents and images..." (Contrasts with classification which analyzes meaning). [https://learn.microsoft.com/en-us/ai-builder/prebuilt-text-recognition]

Microsoft Learn. (2023). Use AI Builder in Power BI. "You can use the insights generated by your AI Builder models in Power BI... to add AI predictions to your data." [https://learn.microsoft.com/en-us/ai-builder/use-in-power-bi]