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Microsoft Azure AI Fundamentals (AI-900) - 5 Practice Exams
1 students

Microsoft Azure AI Fundamentals (AI-900) - 5 Practice Exams

Practice tests for successfully passing the Azure AI Fundamentals (AI-900) certification exam
Created byJeff Landry
Last updated 9/2024
English

What you'll learn

  • How to describe Artificial Intelligence workloads and considerations
  • How to describe fundamental principles of machine learning on Azure
  • How to describe features of computer vision workloads on Azure
  • How to describe features of Natural Language Processing (NLP) workloads on Azure
  • How to describe features of generative AI workloads on Azure

Included in This Course

300 questions
  • Describe Artificial Intelligence workloads and considerations60 questions
  • Describe fundamental principles of machine learning on Azure60 questions
  • Describe features of computer vision workloads on Azure60 questions
  • Describe features of Natural Language Processing (NLP) workloads on Azure60 questions
  • Describe features of generative AI workloads on Azure60 questions

Description

The Microsoft Azure AI Fundamentals (AI-900) exam certification contains the official Microsoft objectives that will provide proper knowledge to the candidates with the goal to upgrade their skills or simply to confirm their knowledge. The main objectives are the following:

1.1 Identify features of common AI workloads

1.2 Identify guiding principles for responsible AI

2.1 Identify common machine learning techniques

2.2 Describe core machine learning concepts

2.3 Describe Azure Machine Learning capabilities

3.1 Identify common types of computer vision solution

3.2 Identify Azure tools and services for computer vision tasks

4.1 Identify features of common NLP Workload Scenarios

4.2 Identify Azure tools and services for NLP workloads

5.1 Identify features of generative AI solutions

5.2 Identify capabilities of Azure OpenAI Service

This practice exam includes explanations for both correct and incorrect answers, providing future candidates to learn and understand the concepts and methodologies that are appended to the Microsoft Azure AI Fundamentals (AI-900) exam objectives while going through the practice exam.

Each of the 5 exams grants the learner with a time length of 60 minutes in order to respond to multiple questions. The idea is to provide candidates with extended time to learn and confirm their skills while preparing for the certification.

The intent here is not a “run against the clock” training exam. It is focused on providing the proper knowledge in regards to machine learning AI on Microsoft Azure services.

The following objectives are covered:

- How to describe Artificial Intelligence workloads and considerations

- How to describe fundamental principles of machine learning on Azure

- How to describe features of computer vision workloads on Azure

- How to describe features of Natural Language Processing (NLP) workloads on Azure

- How to describe features of generative AI workloads on Azure

At the end of this practice exam, candidates will be better prepared for the official Microsoft Azure AI Fundamentals (AI-900) certification exam.

Who this course is for:

  • For candidates who wants to get familiar with machine learning on Microsoft Azure services