Azure AI Fundamentals (AI-901) · 43% practice allocation
5 free sample questions from the Identify AI concepts and capabilities domain, with answers and explanations. The full AI-901 bank has 105 questions across 2 domains. Questions are scenario-based and written from the official Azure exam guide.
A company wants to automatically determine whether customer feedback is positive, neutral, or negative. Which NLP capability provides this?
Scoring text for positive/neutral/negative emotion is sentiment analysis. Key phrase extraction (D) pulls out main topics, language detection (A) identifies the language, and speech synthesis (B) generates spoken audio — none scores sentiment.
A marketing team uses a tool that produces original blog drafts and images from short text prompts. Which AI workload is this?
Creating new original content — text and images — from prompts is the defining feature of generative AI. Object detection (A) locates items in images, sentiment analysis (B) scores text emotion, and anomaly detection (C) flags outliers; none of these generate new content.
An app must decide whether an uploaded photo shows a 'cat', a 'dog', or a 'bird' — a single label for the whole image. Which computer vision task is this?
Assigning a single category label to an entire image is image classification. Object detection (B) locates multiple objects with bounding boxes. OCR (A) reads text from images. Facial analysis (C) detects and analyzes faces — none of which is 'one label per whole image' classification.
An organization publishes a document describing what its AI recommendation system does, what data it uses, and where it may be unreliable. Which principle is this practice MOST aligned with?
Clearly communicating how the system works, what data it uses, and its limitations is the essence of transparency. Privacy and security (A) is about protecting data, reliability and safety (D) about consistent safe operation, and inclusiveness (B) about serving diverse users — the disclosure described maps most directly to transparency.
A company builds an AI service and ensures it can be used by people with a wide range of abilities, including those who rely on assistive technologies. Which responsible AI principle is being applied?
Designing AI to empower everyone and engage people across abilities and backgrounds is the inclusiveness principle. Fairness (B) is specifically about equitable treatment and avoiding bias in outcomes. Accountability (D) concerns human responsibility. Reliability and safety (C) concerns consistent, safe operation.
The free AI-901 practice test mixes about 20 questions weighted like the exam. The full 105-question bank adds instant grading, flashcards and a timed mock exam.