How to pass the Microsoft Azure AI Fundamentals exam (AI-900). Blog

Microsoft offers a wide variety of certification options to users. These certifications are designed to prepare professionals for changing technology jobs. The Microsoft Azure AI Fundamentals exam (AI-900), allows you to demonstrate your knowledge of common ML workloads and how they can be implemented on Azure. The Microsoft Azure AI Fundamentals exam (AI-900), is for candidates who have a basic understanding of machine learning (ML), artificial Intelligence (AI) and related Microsoft Azure services.
Let’s find out how to pass the Microsoft Azure AI Fundamentals exam (AI-900).
About Microsoft Azure AI Fundamentals (AI-900) exam
This exam is for both technical and non-technical candidates. Although no experience in data science or software engineering is required, it would be helpful to have some programming knowledge. Azure AI Fundamentals can be used to prepare you for other Azure role-based certifications such as Azure Data Scientist Associate and Azure AI Engineer Associate. However, it is not necessary for any of these.
Candidates should have a solid understanding and familiarity with machine learning (ML), artificial intelligence (AI) concepts and the Microsoft Azure services that support them. This exam will allow you to demonstrate your knowledge of common ML/AI workloads and how they are implemented on Azure.
Learning Objectives
Microsoft offers exam objectives to help candidates understand and learn about the concepts before they prepare for an exam. These exam concepts can be broken down into sections and subsections to make it easier for you to understand them. These are the basic concepts of Microsoft AI-900:
Considerations and workloads for AI
Azure’s machine learning basics
Azure Natural Language Processing (NLP), and Azure Computer Vision Workloads are two examples of Azure’s features
Conversational AI workloads for Azure characteristics
Now that you have a good understanding of the exam, let’s move on to the step-by-step guide to How to Pass the Microsoft Azure AI Fundamentals exam (AI-900).
How to pass the Microsoft Azure AI Fundamentals exam (AI-900).
The exam passes demonstrates professional competence in core areas covered by the Microsoft exam. It also allows you to start a career developing applications for Microsoft Windows operating system. This guide will show you how to pass the Microsoft Azure AI Fundamentals exam (AI-900).
Step 1: Learn about the exam syllabus
Here is the exam content outline.
Topic 1: Describe Artificial Intelligence Workloads and Considerations (15-20%)
1.1 Identify common AI workloads
identifying the prediction/forecasting workloads
Identifying the characteristics of anomaly detection workloads
identify computer vision workloads
Identifying natural language processing or knowledge mining jobs
Identifying conversational AI workloads
1.2 Identify the guiding principles for responsible AI
The considerations for fairness in an AI solution
Explaining the safety and reliability considerations in an AI solution
A description of the privacy and security considerations in an AI solution
Explaining the considerations of inclusion in an AI solution
This article explains the importance of transparency in an AI solution
This article explains the importance of accountability in an AI solution
Topic 2: Describe the fundamental principles of machine-learning on Azure (30-35%)
2.1 Identify common types of machine learning
identifying regression machine learning scenarios
Also, machine learning scenarios for identifying classifications
identify clustering machine learning scenarios
2.2 Describe core machine-learning concepts
Machine learning can be done by identifying features and labels within a dataset
Describe how machine learning uses validation and training datasets
Description of machine learning

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