D1 · AI Concepts and Azure AI Capabilities
Exam weight 40–45%
The larger domain — covers what AI and ML are, the responsible AI principles Microsoft applies to Azure services, and the portfolio of pre-built Azure AI cognitive services.
FREESELF-PACEDMICROSOFT AZURE
AI workloads, machine learning, computer vision, NLP, generative AI, and responsible AI on Azure. 60-question timed exam, 150 flashcards, per-domain objective drills, 12-week study plan.
The 2 domains on the AI-901 exam, with their weight on the test. Each has its own objectives page, flashcard deck, and drill in the hub.
Exam weight 40–45%
The larger domain — covers what AI and ML are, the responsible AI principles Microsoft applies to Azure services, and the portfolio of pre-built Azure AI cognitive services.
Exam weight 55–60%
The dominant domain — focuses on Azure AI Foundry as the unified development platform for generative AI.
Everything is free and built from the official exam outline.
Every AI-901 domain decomposed into objectives with weights, key terms, and exam-day focus areas.
Flip, tag as known or review, shuffle, and track progress. Your session survives a refresh.
Timed, with a question navigator, flags, auto-save resume, and per-question explanations with a domain breakdown of your score.
Per-domain timed drills to isolate weak domains, plus an AI-generated targeted drill for members.
Checkable weekly milestones, daily hour targets, and a final-week sprint. Copy-to-clipboard export.
Printable one-page reference for the final week, plus vetted books, courses, labs, and practice-exam vendors.
Five of the 148 cards in the hub. Tap a card to see the answer.
Fairness, Reliability & Safety, Privacy & Security, Inclusiveness, Transparency, Accountability. Every responsible AI exam question maps to one of these six.
AI systems should treat all individuals equitably and avoid outcomes that discriminate based on protected characteristics. Bias in training data can cause unfair outcomes even without intent.
The unified portal and platform for building AI solutions on Azure. Provides model catalog, deployment management, playground for testing, agent builder, and access to Azure AI services including Content Understanding.
1. Go to ai.azure.com. 2. Navigate to Model Catalog. 3. Select a model (e.g., GPT-4o). 4. Click Deploy. 5. Configure deployment name, version, deployment type, and rate limits. 6. Test in the Playground.
Two of the 60 questions in the timed practice exam. Every question has an explanation like these.
A) Transparency B) Reliability and Safety C) Fairness D) Accountability Correct answer: C. Fairness requires AI systems to treat all individuals equitably regardless of demographic characteristics. Recommending different (and potentially inferior) treatments based on zip code as a socioeconomic proxy is a fairness violation.
A) azure-cognitiveservices-speech B) azure-ai-vision-imageanalysis C) azure-ai-inference D) azure-ai-formrecognizer Correct answer: C. azure-ai-inference is the Foundry SDK package for chat completions. It provides ChatCompletionsClient for sending messages to models deployed in Foundry. Speech SDK handles audio, vision-imageanalysis handles images, and form recognizer (deprecated) handled document extraction.
The path most learners follow. Move at your own pace.
Read the domain breakdowns and note the exam weights.
Work each deck until every card is tagged known.
Take the timed exam, review explanations, then drill weak domains.
Follow the sprint in the study plan and print the cheat sheet.
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