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What you'll learn- AI workloads and considerations: AI-900 Exam
- Computer vision workloads on Azure: AI-900 Exam
- Natural Language Processing (NLP) workloads on Azure: AI-900 Exam
- Common ML and AI workloads and how to implement them on Azure.
Description*This Course is Updated regularly to align with the latest exams !
Rating 0 out of 5 (0 ratings in Udemy)
What you'll learn- AI workloads and considerations: AI-900 Exam
- Computer vision workloads on Azure: AI-900 Exam
- Natural Language Processing (NLP) workloads on Azure: AI-900 Exam
- Common ML and AI workloads and how to implement them on Azure.
Description*This Course is Updated regularly to align with the latest exams !
Welcome to the top quality practice tests to help you prepare for your AI-900 Microsoft Azure AI Fundamental Exam.
This practice test course contains 2 complete timed tests, of at least 45-questions each, just like you will get in the official exam. That's 90 questions to see how prepared you are for the real test. The quiz questions are balanced as per the domain weightings published in the candidate bulletin. In addition, after taking the exam you can review your answers compared against the correct answers including comprehensive explanations and documentation links of each question, the answer options and the recommended approach for getting the answers right.
This Practice Tests are meant to make you go through all kind of questions that Can occur during the exam, based on previous exams and so many other practice tests in other courses to make sure you pass in your first attempt .
I strongly recommend to take AI-900 practice tests to validate your learning before taking the real AI-900 Developing Solutions for Microsoft Azure exam. This AI-900 practice test course is designed to cover every topic, with a difficulty level like a real exam.
Complete preparation for the AI-900 Azure Data Fundamentals exam.
The AI-900 exam covers the following topics:
Describe AI workloads and considerations (15-20%)
Describe fundamental principles of machine learning on Azure (30-35%)
Describe features of computer vision workloads on Azure (15-20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
Describe features of conversational AI workloads on Azure (15-20%)