Are you curious about whether you will be able pass the Microsoft Azure AI Fundamentals Exam (AI-900). Do you want to find out how difficult the exam is? Continue reading if you are interested in learning more about the exam. This article will provide you with a study guide and detailed explanations about the Al-900 exam. The Microsoft Azure AI Fundamentals exam (AI-900), is designed to show knowledge of common ML workloads and how they can be implemented on Azure. The Microsoft Azure AI Fundamentals exam (AI-900), is for applicants who have a basic understanding about machine learning (ML), artificial Intelligence (AI) and related Microsoft Azure services.
This exam is open to candidates with technical and non-technical backgrounds. Although data science and software engineering are not required, it is a good idea to have some programming experience. Azure AI Fundamentals can be used to prepare you for other Azure role-based certifications such as Azure Data Scientist Associate or Azure AI Engineer Associate. However, it is not required for any of these.
Microsoft A9-100 Exam Details
Microsoft offers candidates access to its learning path. This is intended to prepare them to take certification tests. This learning path guides candidates through each concept in a sequential fashion. Modules in the pathways help candidates to improve their skills and knowledge in these areas.
First, get started with Azure’s artificial intelligence.
Second, Azure Machine Learning can be used to build no-code predictive models.
Also, exploring computer vision in Microsoft Azure.
The final step is to explore natural language processing and conversational artificial intelligence.
The exam is a sign that you are competent in the core subjects covered by the equivalent Microsoft exam. It also demonstrates your readiness to begin a career designing programs for Microsoft Windows operating system.
Exam Format
To determine the difficulty level, it is important to understand the basics of the exam.
The Microsoft Azure AI Fundamentals exam (AI-900), consists of 40-60 questions.
Candidates can also face scenario-based single-answer questions, multiple-choice question types, arrange in the correct order type questions, drag and drop questions, mark review questions, drag, drop, etc.
To pass the exam, candidates must score at least 700.
The exam fee includes taxes and is $99 USD.
Candidates will also be able to choose from English, Japanese, Chinese (Simplified), Korean and French language options for the AI-900 exam.
AI-900 Course Outline
The candidate should now have a clear understanding of the course structure. Below is the outline of the course that the candidate must know to pass the Al900 exam.
1. Describe Artificial Intelligence Workloads and Considerations (15-20%)
Identify common features of AI workloads
Identify the guiding principles of responsible AI
2. Describe the fundamental principles of machine-learning on Azure (30-35%)
Identify common types of machine learning
Describe the core concepts of machine learning
Identify the core tasks that will be used to create a machine-learning solution
Azure Machine Learning – Describe the capabilities of no-code machine intelligence
3. Describe the features of computer vision workloads in Azure (15-20%)
Identify the most common types of computer vision solutions
Identify Azure tools, services and resources for computer vision tasks
4. Describe the features of Azure Natural Language Processing (NLP), workloads (15-20%)
Identify common NLP Workload Scenarios
Identify Azure tools, services and resources for NLP workloads
5. Describe the features of conversational AI workloads in Azure (15-20%)
Identify common uses cases for conversational AI