AI-900 Microsoft Azure AI Fundamentals Practice Tests
Welcome to the AI-900 Microsoft Azure AI Fundamentals Practice Tests Course by Suresh M!
This practice test course contains 4 complete timed practice tests. That’s 150+ unique questions to test how well prepared you are for the real exam.
This practice test course is designed to cover every topic, with a difficulty level like a real exam.
Every question has a detailed answer with the links back to the official Microsoft docs.
This AI-900 Microsoft Azure AI Fundamentals Practice Tests course offers the following features:
FULLY UPDATED TO THE NEW May 2020 exam version
150+ TOP-NOTCH Questions
DETAILED EXPLANATIONS, REFERENCE LINKS and SCREENSHOTS
ACTIVE Q&A DISCUSSION BOARD
PROMPT RESPONSIVE INSTRUCTOR
Prepared by an Azure Solutions Architect Expert
30 Day Money back guarantee
LIFETIME access to these questions
I strongly recommend to take practice tests to validate your learning before attempting the real AI-900 Microsoft Azure AI Fundamentals Exam.
These practice tests are designed and formatted just like the real exam questions. Unfortunately, we cannot create every type of question that appear in real exam due to limited type of questions we can offer. However, I tried my best to format questions like the real exam.
This practice test course covers every topic in AI-900 Microsoft Azure AI Fundamentals exam curriculum:
Describe Artificial Intelligence workloads and considerations (15-20%)
*Identify features of common AI workloads
*Identify guiding principles for responsible AI
Describe fundamental principles of machine learning on Azure (30-35%)
*Identify common machine learning types
*Describe core machine learning concepts
*Identify core tasks in creating a machine learning solution
*Describe capabilities of no-code machine learning with Azure Machine Learning studio
Describe features of computer vision workloads on Azure (15-20%)
*Identify common types of computer vision solution
*Identify Azure tools and services for computer vision tasks
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
*Identify features of common NLP Workload Scenarios
*Identify Azure tools and services for NLP workloads
Describe features of conversational AI workloads on Azure (15-20%)
*Identify common use cases for conversational AI
*Identify Azure services for conversational AI
I wish you all the best for your learning and exam. See you inside the course.
Please feel free to drop a message on LinkedIn if you have any queries.