General Flashcards
7 cards from real Microsoft Azure AI Fundamentals practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 General flashcards as text
Which Azure service provides real-time translation of spoken conversations between languages?
Answer: Azure AI Speech with speech translation
Azure AI Speech includes a speech translation feature that transcribes and translates spoken audio in real time across multiple languages.
In the context of Azure OpenAI Service, what is a 'token'?
Answer: A unit of text (word or word fragment) that the model processes
A token is the basic unit of text that language models process; English words are typically 1–2 tokens, and model usage and costs are measured in tokens consumed.
Which responsible AI principle is most concerned with ensuring AI systems work correctly and safely across varying conditions?
Answer: Reliability and Safety
Reliability and Safety focuses on ensuring AI systems perform as intended, resist manipulation, and fail gracefully without causing harm across different conditions.
What is the purpose of 'prompt engineering' when working with large language models?
Answer: Crafting effective input text to guide the model toward desired outputs
Prompt engineering is the practice of designing and refining the text inputs given to a language model to elicit accurate, relevant, and useful responses.
A hospital wants to predict which patients are at high risk of readmission within 30 days of discharge. Which type of ML task is this?
Answer: Binary classification
Predicting whether a patient will or will not be readmitted is a binary classification task with two possible outcome classes: readmitted or not readmitted.
Which Azure Machine Learning capability automates the process of selecting algorithms and tuning hyperparameters?
Answer: Automated ML (AutoML)
AutoML in Azure Machine Learning automatically iterates through multiple algorithms and hyperparameter combinations to find the best-performing model for a given dataset.
What distinguishes 'deep learning' from traditional machine learning?
Answer: Deep learning uses multi-layered neural networks to automatically learn hierarchical feature representations
Deep learning uses neural networks with many layers that automatically learn hierarchical feature representations from raw data, eliminating the need for manual feature engineering.