I created this repository to help you prepare for the AI-900 exam. Unlike other exams, this one is simple as long as you understand the content covered in the official learning paths. Working through practice questions helped me pass this exam on the first try. Verify my certification
Official Website: Microsoft Azure AI Fundamentals
Certification (after passing this exam): Microsoft Certified: Azure AI Fundamentals
Here are some key terms and concepts that are commonly covered on the Microsoft AI-900 exam:
- Artificial Intelligence (AI) – The simulation of human intelligence processes by computer systems, including learning, reasoning, and self-correction.
- Machine Learning (ML) – A subset of AI that involves training models on large datasets to make predictions or classifications without being explicitly programmed.
- Deep Learning – A special type of machine learning that uses layered neural networks to study and sort data.
- Natural Language Processing (NLP) – The ability of computers to understand, interpret, and generate human language.
- Computer Vision – The ability of computers to analyze and interpret visual data, such as images and videos.
- Azure AI services – A suite of services and tools provided by Microsoft Azure for building and deploying AI and ML solutions, including Azure Machine Learning, Azure Cognitive Services, and more.
- Data Science – A multidisciplinary field that involves using statistical and computational methods to extract insights and knowledge from data.
- Understand Data preprocessing – The process of cleaning and preparing data before it can be used for analysis or modeling.
- Data labelling – The process of annotating data with labels or tags to enable supervised learning.
- Model evaluation – The process of assessing the accuracy and performance of machine learning models.
- Overfitting – In machine learning, there’s a frequent issue when a model is too complicated and closely follows the training data, leading to a not-so-great performance on fresh data.
- Deployment – The process of deploying machine learning models to production environments or integrating them with other applications.
- Ethics and responsible AI – The importance of ethical considerations when developing and deploying AI solutions, such as transparency, fairness, and privacy.
- Explainable AI – The ability of AI systems to provide clear explanations of their decision-making processes and recommendations.
Here are some tips and tricks for the Microsoft AI-900 exam:
- Understand the exam objectives: Make sure you review the AI-900 Exam Skills Measured document provided by Microsoft. This document outlines the key topics that will be covered on the exam.
- Study the concepts: Focus on the core concepts of AI, machine learning, and data science. You should also be familiar with the Azure services that are used for AI and machine learning.
- Hands-on experience: Practice using Azure services for AI and machine learning. You can use the Microsoft Learn platform to access free training modules that provide hands-on experience.
- Use official Microsoft resources: Microsoft provides a variety of free resources for the AI-900 exam, including a study guide, sample questions, and reference material. Make sure to use these resources to prepare for the exam.
- Take practice tests: Take advantage of practice tests to gauge your knowledge and identify areas where you need to focus your studies.
- Manage your time: The exam has a time limit of 60 minutes. Make sure you manage your time effectively and don’t spend too much time on any single question.
- First login 30 minutes before the chosen slot time.
- Next, you can see the document verification process to verify we need to use mobile for uploading the documents of your government ID proof and your exam desk pictures(the place where you're writing the exam ) and upload them as instructed.
- Later you will be connected with the proctor for a room verification process They will ask you to show the entire room through the webcam of your laptop after completion of verification they will let you enter the exam at your scheduled time.
- The Actual Test consists of 45 minutes(without verification process time ) with 44 questions which contains
- Multiple Questions Answers
- Drag and drop
- Scenario-based Questions