AI-900: Microsoft Azure AI Fundamentals Exam Study Guide

5/5 - (1 vote)

Artificial Intelligence (AI) is taking over the IT world and the improvement of AI is evident. Thus, AI 900 certification is a great choice for future cloud professionals to acquire the fundamental understanding of the field of machine learning as well as AI concepts.

AI-900 Microsoft Azure AI Fundamentals is a widely acknowledged certification that proves the candidate’s understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their corresponding Microsoft Azure services. The Azure AI Fundamentals exam requires candidates to demonstrate commonly used AI and ML tasks and their application in Azure.

The topics covered in this blog are:

What Is Azure AI Fundamentals Certification?

AI 900 certificate is an essential grade accreditation for information researchers to have a thought of how to apply AI and Machine Learning in their calling. Additionally, it likewise affirms you for utilizing Azure administrations connected with ML and AI. What’s more, we can utilize the AI900 Microsoft Azure AI Fundamentals accreditation test as a significant device for exhibiting an intensive comprehension of general ML and AI responsibilities.

AI-900

Are you a beginner in the Azure cloud? Do check out our blog post on the Azure Certification Path and choose the best certification for you.

Why Use Azure AI solutions?

The justification for why one should change to Azure AI arrangement can be shown through different reasons:

  • It gives a cloud stage for executing AI Solutions
  • It gives no-code ML models to handling information.
  • It helps in executing and checking AI arrangements.
  • You can plan AI as financially savvy Intelligent Edge arrangements.
  • You can plan and distinguish information administration, and necessities.

Who Can Do This Certification?

This test can be endeavored by the competitors getting ready for the Azure AI Fundamentals AI-900 confirmation test.

This test is reasonable for individuals with both specialized and non-specialized foundations who need to show a sense of man-made brainpower and AI.

Benefits of AI-900 Certification

The advantages of going to this test are as per the following:

  1. Because of the soaring development of AI, the significance of Azure AI Engineers is likewise apparent.
  2. The volume of deciphering the vision of cloud engineer for the advancement of start to finish arrangements utilizing AI and ML on Azure.
  3. It will further develop your acquiring potential.
  4. Azure AI engineers need to work as a team with information engineers, information researchers, AI designers, and IoT experts as these jobs are related.

Also Check: Azure Data Factory Interview Questions

AI-900 Exam Details

Exam Name

Exam AI-900: Microsoft Azure AI Fundamentals

Exam Duration

90 Minutes

Exam Type

Multiple Choice Examination

Number of Questions

40 - 60 Questions

Exam Fee

$99

Eligibility/Pre-Requisite

None

Exam validity

Lifetime

Exam Languages

English, Japanese, Korean, and Simplified Chinese

AI-900 Exam Skills Measured

Fundamental principles of ML on Azure

30-35%

AI workloads and considerations

15-20%

Computer vision workloads on Azure

15-20%

Natural Language Processing (NLP) workloads on Azure

15-20%

Conversational AI workloads on Azure

15-20%

How to Register for Azure AI 900 Exam

You can register for Microsoft Azure Data Fundamentals Exam (AI900) by going to the official Microsoft page.

AI-900 Study Guide

Pre-requisites for AI-900 Certification

There are no pre-requisites for the AI-900 exam.

Also Read: What is Azure?

Azure AI Fundamentals Certification (AI 900) Study Guide

Describe Artificial Intelligence Workloads and Considerations (15-20%)

Identify Features of Common AI Workloads

 Identify Guiding Principles for Responsible AI

  • describe considerations for fairness in an AI solution
  • describe considerations for reliability and safety in an AI solution
  • describe considerations for privacy and security in an AI solution
  • describe considerations for inclusiveness in an AI solution
  • describe considerations for transparency in an AI solution
  • describe considerations for accountability in an AI solution

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

AI-900 Exam Day Tips

Before attempting the exam, the candidate must keep in mind these tips if they wish to qualify for the exam:

  • Run a System Check before the test.
  • There can be a variety in the test question types like fill in the spaces, valid or bogus, various responses, numerous decisions, simplified, fill the missing modules in the given pipeline, so be ready for it!
  • Be cautious and speed yourself on the inquiries so as not to stall out on one query for extremely lengthy.
  • Simply skip the new queries and return to them later.
  • Breaks will be not be permitted during the test.

Conclusion

In this Azure tutorial, we discussed What is Azure AI Fundamentals Certification, Who Can Do This Certification, benefits, Exam Details, Study Guide, and much more.

I hope you have enjoyed this article!!!

Related/References

Sharing Is Caring:

Leave a Comment