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Notes and previous questions which helped me pass the AI-900 exam on the first attempt, for free. Includes cram and preparation strategies.

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Azure AI-900 Exam Notes / Preparation Repository

Purpose

This repository is designed to assist you in preparing for the AI-900 exam. Unlike other exams, this one is relatively straightforward if you thoroughly understand the content covered in the official learning paths. Utilizing practice questions helped me pass the exam on my first attempt. Verify my certification.

Official Website: Microsoft Azure AI Fundamentals

Official Study Material: Microsoft Certified: Azure AI Fundamentals

Practice Tests: Official, Free, Recommended

I have been exploring a lot of resources for the AI-900 exam, especially to cram for it, and I have compiled a list of resources that I found helpful. I found banks of questions which were behind a paywall ranging from $5 to $75. I don't think it's needed. I compiled a list of questions from the web and the official practice tests myself, and I am providing it to you for free. Don't pay for any services online. You can pass this exam with the resources I have provided.

Skills Measured

  • Describe Artificial Intelligence workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of generative AI workloads on Azure

Preparation Strategy 2024

Preparation time: 1-2 weeks, depending on your current knowledge of AI and Azure.

The Azure AI-900 exam has evolved over the years, with recent additions such as Generative AI, making it essential to prepare accordingly.

Recommended Strategy

  1. Official Learning Path: Begin with the official learning path from Microsoft for a comprehensive overview of the exam topics.

  2. YouTube Videos: Watch the latest videos on YouTube. This video from FCC covers almost everything you need. Take notes or screenshots. YouTube Video

  3. Practice Previous Exam Questions: These resources will provide a good understanding of the exam questions, which are not limited to multiple-choice questions. I highly recommend reviewing these:

  4. Official Practice Tests: Microsoft offers free practice tests for the AI-900 exam. These are an excellent way to test your knowledge and get familiar with the question format. Official Practice Tests

  5. Review Repository Questions: This repository contains questions I prepared, providing a realistic understanding of exam questions.

    Notes | Questions

Cram Strategy 2024

We all know that engineering undergrads do things last minute, worry not. I have a cram strategy for you which worked for me and my friend, since this was a fairly easy exam you should be able to pass it with this strategy:

Preparation time: 1-2 days, 4-8 hours total.

Recommended Cram Strategy

  1. YouTube Video: Watch the FCC video, taking notes or screenshots. YouTube Video

  2. Limited Learning Path: Focus on Responsible AI, Generative AI, and machine learning (clustering, regression, and classification). Official Learning Path

  3. Review Repository Questions: This repository contains questions I prepared, providing a realistic understanding of exam questions. Notes | Questions

PDF Version:

You can get a pdf version of this repository for offline access by clicking here.

My Outcome

I took CS50 AI, AI and DS as part of my academic degree and learned a lot from online resources as a self-learner. Therefore, it was easy for me to cram and score 871/100, surpassing the passing score of 700. Although I didn't go through the official learning path, I did review the official practice tests and the questions from my notes.

Certificate

certificate.jpg Verify my certification


If you found this repository helpful, please leave a star. Feel free to reach out to me on LinkedIn or Twitter if you need any assistance.

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Notes and previous questions which helped me pass the AI-900 exam on the first attempt, for free. Includes cram and preparation strategies.

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