Microsoft Azure AI Fundamentals Cheat Sheet 2026
The 30 highest-yield Microsoft Azure AI Fundamentals facts, distilled from real exam questions. Print it, save it as a PDF, or study it here — free, no sign-up.
40 questions
60 min time limit
70% to pass
- Find the Azure cloud service that includes serverless features. → All of the above
- Which kind of machine learning should you employ to forecast the quantity of gift cards that will be sold over the course of the upcoming month? → regression
- You are developing an app with AI. Make sure the app adheres to the responsible AI guidelines. Which two guidelines ought to you abide by? → Implement a process of AI model validation as part of the software review process
- Choose every model that makes up Supervised ML. → Both a and b
- What are Azure Cognitive Services (now Azure AI Services)? → Pre-built AI APIs and models accessible via REST endpoints without requiring ML expertise
- Which Azure AI Vision feature can generate a dense description of all regions within an image? → Dense captioning
- What platform offers a Conversation AI agent user interface? → Azure Bot Service
- What Azure service would you use to build a conversational bot that understands natural language queries? → Azure Bot Service with Azure AI Language (CLU)
- In Azure Custom Vision, what does the 'Precision' metric indicate? → The percentage of predictions the model made that were actually correct
- In conversational AI, what is an 'utterance'? → An example phrase or sentence that a user might say to the bot
- Which Microsoft tool provides a dashboard for assessing error analysis, fairness, and model interpretability in Azure Machine Learning? → Responsible AI Dashboard in Azure Machine Learning
- Which Azure AI service helps users find answers by extracting them directly from a provided document or knowledge base? → Azure AI Language – Question Answering
- How many layers of Azure Blob storage are there? → 3
- What is the 'Read API' in Azure AI Vision used for? → Extracting printed and handwritten text from images and PDFs at scale
- What is text-to-speech (TTS) synthesis in Azure AI Speech? → Converting written text into spoken audio output
- What does the term 'tokenization' mean in the context of NLP? → Breaking text into individual words or subword units
- Which Azure AI Language feature is the official successor to LUIS for building conversational natural language understanding models? → Conversational Language Understanding (CLU)
- What does the Microsoft Responsible AI principle of 'Fairness' primarily aim to prevent? → AI models treating individuals or groups inequitably based on protected characteristics
- Which pricing tier for Azure Cognitive Services allows you to use the APIs for free within monthly usage limits? → Free (F0) tier
- What is the name of the Daniel Bobrow-created artificial intelligence system? → system known as STUDENT
- You want to use Azure Machine Learning's AutoML UI to create and deploy a predictive model. What are the three supported machine learning tasks? → Classification
- For the following ten years, you must forecast the sea level in meters. Which kind of machine learning ought to be applied? → regression
- Which capability allows Azure AI Language to identify the main topics discussed in a document? → Key phrase extraction
- How should data be divided for machine learning training and evaluating? → Randomly split the data into rows for training and rows for evaluation.
- Which Azure AI Vision feature can identify the dominant colors and overall mood of an image? → Image analysis – color scheme
- Which Azure AI service enables building intelligent search solutions that can understand natural language queries? → Azure AI Search (with semantic search)
- Choose a web application that Azure can display. → All of the above
- Which would be utilized to determine the category to which an item belongs? → Classification
- Choose one of the following Azure VM and storage service cloud computing models. → IaaS
- In the context of Responsible AI, what is a 'human in the loop'? → A person involved in reviewing, overriding, or approving AI decisions to ensure oversight
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