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Exam trap: memorising one wording for Implement AI solutions for text and speech by using Foundry: Respond to spoken prompts by using a deployed multimodal model

21 October 2026 · Implement AI solutions by using Microsoft Foundry (55–60%)

Do not treat this objective as a recognition exercise. Practise explaining and applying 'Implement AI solutions for text and speech by using Foundry: Respond to spoken prompts by using a deployed multimodal model' in a new scenario, then check your reasoning against the official source. Source context: Read in English Generate batch predictions using a deployed model in Microsoft Fabric Module 7 Units Feedback Beginner Data Analyst Data Engineer Data Scientist Microsoft Fabric Save and use your machine learning models in Microsoft Fabric to generate batch predictions and enrich your data. Learning objectives In this module, you'll learn how to: Save a model in the Microsoft Fabric workspace Prepare a dataset for batch predictions Apply the model to dataset to generate new predictions Save the predictions to a Delta table Add Prerequisites Before starting this module, you should be familiar with the data science process. Introduction min Customize the model's behavior for batch scoring min Prepare data before generating predictions min Generate and save predictions to a Delta table min Exercise - Generate and save batch predictions min Module assessment min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module.

Objective

Implement AI solutions for text and speech by using Foundry: Respond to spoken prompts by using a deployed multimodal model

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