Microsoft Azure AI Fundamentals (AI-900) 5

Question 1

Which Azure Machine Learning feature automatically tries multiple algorithms and hyperparameter combinations to find the best model for a dataset?

Accepted Answer

Automated ML (AutoML)

Answer

Automated ML iterates through algorithm and feature preprocessing combinations, evaluating each using cross-validation to surface the best-performing model.

Question 2

What is 'responsible AI' most accurately described as?

Accepted Answer

A framework of principles guiding the ethical and trustworthy development and use of AI

Answer

Responsible AI is a set of guiding principles—including fairness, reliability, privacy, inclusiveness, transparency, and accountability—for building trustworthy AI systems.

Question 3

In natural language processing, what does 'tokenization' refer to?

Accepted Answer

Splitting text into individual units such as words or subwords for processing

Answer

Tokenization breaks raw text into tokens (words, subwords, or characters) that serve as the basic units for downstream NLP processing.

Question 4

Which Azure service would you use to translate text between more than 100 languages in real time?

Accepted Answer

Azure Translator

Answer

Azure Translator is a cloud-based neural machine translation service that supports text translation, transliteration, and language detection across 100+ languages.

Question 5

What is a 'confusion matrix' used for in machine learning evaluation?

Accepted Answer

Showing the counts of correct and incorrect predictions broken down by class

Answer

A confusion matrix tabulates true positives, true negatives, false positives, and false negatives, giving a detailed view of classification errors.

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals (AI-900) 5