Microsoft Azure AI Fundamentals General 2

Question 1

Which Azure service provides a unified interface for deploying and managing large language models from multiple providers?

Accepted Answer

Azure AI Foundry

Answer

Azure AI Foundry (formerly Azure AI Studio) is the unified platform for discovering, deploying, and managing AI models from Microsoft and third-party providers.

Question 2

In the context of responsible AI, what does 'fairness' primarily require?

Accepted Answer

AI systems do not produce biased outcomes that disadvantage specific groups

Answer

Fairness in responsible AI means that AI systems should not produce discriminatory outcomes that unfairly disadvantage people based on characteristics such as race, gender, or age.

Question 3

A company wants to detect whether a product image contains a defect on the assembly line. Which Azure AI capability is most appropriate?

Accepted Answer

Azure AI Vision custom model

Answer

Azure AI Vision supports custom image classification and object detection models that can be trained to identify specific defects in product images.

Question 4

What is the purpose of 'grounding' in generative AI applications?

Accepted Answer

Connecting model outputs to verified, real-world data sources

Answer

Grounding connects a generative AI model's responses to authoritative, real-world data sources to reduce hallucinations and improve factual accuracy.

Question 5

Which metric is most commonly used to evaluate the performance of a classification model?

Accepted Answer

Accuracy

Answer

Accuracy, which measures the proportion of correctly classified instances, is the most commonly used evaluation metric for classification models.

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals General 2