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AI-900 : Microsoft Azure AI Fundamentals (6 Mock Tests)

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  • 更新於 3/2026
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
0 小時 0 分鐘
教學語言
英語
授課導師
Amit Mandal
1次瀏覽

課程簡介

AI-900 : Microsoft Azure AI Fundamentals (6 Mock Tests)

AI-900 : Microsoft Certified Azure AI Fundamentals (6 Mock Tests - 300+ Questions)

The Microsoft Azure AI Fundamentals (AI‑900) certification validates your foundational understanding of Artificial Intelligence concepts and Azure AI services. It is ideal for students, business professionals, decision-makers, and beginners in technology, requiring no prior coding or data science experience.

Six Full-Length Mock Tests:

  • Realistic exam patterns based on the official structure

  • 50 questions per test

  • Explanation‑based answer keys for deeper learning

Exam Format:

No. of Questions: 50 per Test

Time Duration: 45 Minutes

Passing Score: 80%


Learning Content:

  • AI fundamentals

  • Azure AI services (Vision, NLP, ML, GenAI)

  • Responsible AI concepts

  • Updated syllabus changes and modern tooling expectations

Exam Domains:

The updated syllabus organizes the exam into five key domains:

1. Describe Artificial Intelligence Workloads and Considerations (15–20%)

  • Computer vision, NLP, document intelligence, and generative AI workloads

  • Responsible AI principles: fairness, safety, reliability, privacy, transparency, accountability

2. Describe Fundamental Principles of Machine Learning on Azure (20–25%)

  • ML techniques: regression, classification, clustering

  • Deep learning and transformer basics

  • Concepts of datasets, features, and labels

  • Capabilities of Azure Machine Learning and AutoML

3. Describe Features of Computer Vision Workloads (15–20%)

  • Image classification

  • Object detection

  • Face analysis

  • OCR and document image extraction

4. Describe Features of NLP Workloads (15–20%)

  • Sentiment analysis

  • Key phrase extraction

  • Text classification

  • Conversational AI and language understanding

5. Describe Features of Generative AI Workloads (15–20%)

  • Capabilities of large language models (LLMs)

  • Prompting fundamentals

  • Responsible AI considerations in generative models

AI‑900 Certification – Frequently Asked Questions (FAQs)

1. What is the AI‑900 certification?

The AI‑900: Microsoft Azure AI Fundamentals certification validates foundational knowledge of Artificial Intelligence concepts and explains how Azure AI services can be used to build AI solutions. It is suitable for both technical and non‑technical audiences.

2. Are there any prerequisites for taking the AI‑900 exam?

No. The AI‑900 certification does not require any prerequisites. You do not need prior coding, machine learning, or cloud experience. Basic familiarity with cloud or AI concepts can be helpful but is not mandatory.

3. Who should take the AI‑900 exam?

AI‑900 is ideal for students, beginners, business professionals, decision‑makers, and individuals transitioning into AI or cloud-related roles. It fits both technical and non‑technical learners who want a foundational understanding of AI.

4. What is the exam format for the AI‑900?

The exam typically includes 40–60 questions and lasts 45–60 minutes. Question types include multiple‑choice, multiple‑response, true/false, matching, and drag‑and‑drop formats.

5. What score is required to pass the AI‑900 exam?

You must score 700 out of 1000 (approximately 70%) to pass the AI‑900 certification exam.

6. What skills and domains are covered in the AI‑900 exam?

The AI‑900 exam covers five main skill areas:

  • AI workloads and Responsible AI principles

  • Machine learning fundamentals

  • Computer vision workloads

  • Natural language processing workloads

  • Generative AI workloads

7. How much does the AI‑900 exam cost?

The exam price is typically $99 USD, though costs may vary based on the country or testing region.

8. Does the AI‑900 certification expire?

No. The Microsoft Azure AI Fundamentals (AI‑900) certification does not expire, making it a long‑term foundational credential.

課程章節

  • 1 個章節
  • 第 1 章 Practice Tests

課程內容

  • AI Workloads & Considerations, Machine Learning Fundamentals, Computer Vision Workloads, NLP Workloads, Generative AI Workloads


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