Microsoft Operationalizing Machine Learning and Generative AI Solutions AI-300 Exam Questions

You have a deployment of an Azure OpenAI Service base model.

You plan to fine-tune the model.

You need to prepare a file that contains training data for multi-turn chat.

Which file encoding method should you use?

An Azure Machine Learning workspace processes sensitive training data.

The workspace must NOT be accessible from the public internet.

You need to restrict network access.

Which configuration should you implement?

You are fine-tuning a base language model to analyze customer feedback.

You label examples of support tickets. You must improve classification accuracy by configuring and fine-tuning the base model in Microsoft Foundry.

You need to configure and run fine-tuning.

What should you do first?

A team develops and manages a conversational assistant by using Microsoft Foundry.

The team must be able to validate that the assistant does not produce hateful responses before the application is exposed to any users.

You need to evaluate the model output for hateful responses as part of a repeatable validation process.

Which evaluator should you configure first?

An organization validates generative AI applications during CI/CD Microsoft Foundry.

Evaluation must run automatically and block releases when quality thresholds are NOT met. Manual evaluation is no longer acceptable.

Evaluation must use both predefined quality metrics and custom safety checks.

You need to implement an automated evaluation workflow that supports both built-in and custom metrics.

What should you do?

You have a deployment of an Azure OpenAI Service base model.

You plan to fine-tune the model.

You need to prepare a file that contains training data.

Which file format should you use?

A data science team trains a classification model that predicts loan approval outcomes.

Before registering the model, the team must ensure the following:

Predictions must not disproportionately impact protected groups.

Prediction errors can be evaluated across different data segments.

You need to assess whether the model meets Responsible AI expectations.

Which two approaches should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. Choose two.