VisionToSOP
Cloud ComputingBeginner

Azure AI-900 AI Fundamentals

AI workloads on Microsoft Azure

6

Modules

150

Practice Questions

4

Field Missions

AI-900

Microsoft

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Exam Details

Exam CodeAI-900
Exam BodyMicrosoft
Exam Fee$99
DifficultyBeginner

Free Preview — Module 1

Module 1 — What Artificial Intelligence Actually Is

AI is not one technology — it is a spectrum of capabilities. Understand the subfields, the AI lifecycle, and why the quality of data determines the quality of every model.

1.

Understanding Artificial Intelligence

AI as an umbrella term — machine learning, deep learning, computer vision, NLP, speech, decision systems, and generative AI defined.

2.

How AI Systems Learn from Data

The fundamental difference between traditional software (explicit instructions) and AI (learns statistical patterns from examples).

3.

The AI Development Lifecycle

Data collection → preparation → training → evaluation → deployment → monitoring — each stage and why it matters for business outcomes.

4.

Azure AI Services Overview

Prebuilt Cognitive Services for vision, speech, and language — using AI without building models from scratch.

Sample Practice Questions

Question 1

What is the primary goal of artificial intelligence as a field of computer science?

a.Replace all human workers
b.Build systems that can perform tasks requiring human intelligence
c.Increase computer clock speeds
d.Store large amounts of data efficiently

AI focuses on creating systems that perform tasks normally requiring human intelligence — recognizing patterns, understanding language, making predictions, and generating content. It is not about replacing all workers, increasing hardware speed, or storage.

Question 2

Which of the following is a subfield of AI focused on interpreting images and video?

a.File compression
b.Computer Vision
c.Disk partitioning
d.Network routing

Computer Vision is the AI subfield dedicated to interpreting visual information — image classification, object detection, OCR, and face detection. File compression, disk partitioning, and network routing are not AI subfields.

Question 3

How does AI fundamentally differ from traditional software?

a.AI never requires updates
b.AI systems learn patterns from data rather than following explicit instructions
c.AI does not require input data
d.AI cannot make predictions

Traditional software follows explicit rules written by developers. AI learns statistical patterns from training examples and applies them to new inputs — enabling it to handle situations not explicitly programmed.

Full course includes 6 modules, 150 practice questions, and 4 field missions.

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