AI-300 Exam Question 46

A Retrieval-Augmented Generation (RAG) solution returns incomplete answers because relevant content is inconsistently retrieved from the knowledge source.
You need to improve RAG accuracy without changing the embedding model currently in use. You need to achieve this goal while minimizing operational costs.
Which two actions should you perform? Each correct answer presents part of the solution.
Choose two.
NOTE: Each correct selection is worth one point.
  • AI-300 Exam Question 47

    Drag and Drop Question
    You complete the fine-tuning of a generative model in Microsoft Foundry. The fine-tuned model now appears as a new model variant in your development environment.
    The deployment process must ensure that proper validation and control is maintained.
    You need to promote the fine-tuned model from development to production.
    Which three 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.

    AI-300 Exam Question 48

    Drag and Drop Question
    You have an existing GitHub repository containing Azure Machine Learning project files.
    You need to clone the repository to your Azure Machine Learning shared workspace file system.
    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.
    NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

    AI-300 Exam Question 49

    A team manages an Azure Machine Learning workspace and deploys a model to an endpoint.
    A deployed online endpoint shows inconsistent response times during periods of high traffic.
    You need to identify potential performance degradation.
    Which three metrics should you monitor? Each correct answer presents part of the solution.
    Choose three.
    NOTE: Each correct selection is worth one point.
  • AI-300 Exam Question 50

    You are preparing training data for a fine-tuning job in Microsoft Foundry.
    Real production conversations cannot be used due to compliance requirements.
    You need to generate synthetic interaction data that can be used for fine-tuning a generative model.
    What should you do?