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Microsoft Azure AI Fundamentals (AI-900)

Microsoft Azure AI Fundamentals (AI-900)

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Microsoft Azure AI Fundamentals (AI-900) Exam


Microsoft Azure AI Fundamentals (AI-900) Exam gives the opportunity to demonstrate your knowledge of common ML and AI workloads and how to implement them on Azure. The Azure AI Fundamentals exam can also be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.


Who should take the exam?

Microsoft Azure AI Fundamentals (AI-900) Exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required. However, it is suggested to have some general programming knowledge or experience. This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.


Skills Acquired

The Microsoft Azure AI Fundamentals (AI-900) Exam covers the latest exam updates and topics - 

  • AI workloads and considerations
  • Fundamental principles of machine learning on Azure
  • Features of computer vision workloads on Azure
  • Features of Natural Language Processing (NLP) workloads on Azure
  • Features of conversational AI workloads on Azure.


Course Outline

The Microsoft Azure AI Fundamentals (AI-900) Exam covers latest exam updates and topics -

  • Domain 1 - Understand AI workloads and considerations (15-20%)
  • Domain 2 - Understand fundamental principles of machine learning on Azure (30-35%)
  • Domain 3 - Understand features of computer vision workloads on Azure (15-20%)
  • Domain 4 - Understand features of Natural Language Processing (NLP) workloads on Azure (15-20%)
  • Domain 5 - Understand features of conversational AI workloads on Azure (15-20%)


Boost your chances to qualify Microsoft Azure AI Fundamentals (AI-900) exam with hundreds of practice exam and expert learning resources. Start preparing Now!



Microsoft Azure AI Fundamentals (AI-900) FAQs

The score reports do not show a numerical score for each section. The score reports provide an overall numerical score to reflect the pass/fail status only. As an alternative to providing a numerical score for each section, we provide score bars to show subject areas of strength and weakness.

In the short answer question type there are questions that are solved by writing several lines of code in the available text-entry area. There you can choose from key word options which are provided for you to use in the code you write. However, after entering your code, you can check your syntax.

The short answer questions are worth one point. However, if the question is worth more than one point, it is indicated as the number of points that it is worth in the question itself.

No, you are not penalized for answering incorrectly. As, for single-point items, you need to answer completely and correctly to be awarded the point. And, you don’t earn points for the parts of your response that are incorrect.

You will receive notification of your pass or fail status within a few minutes of completing your exam. In addition, you will receive a printed report that provides your exam score and feedback on your performance on the skill areas measured.

The score report provides a numeric score for overall exam performance, pass/fail status, a bar chart showing performance on each skill area assessed on the exam, and details on how to interpret your results and next steps. Using this information, candidates can determine areas of strength and weakness.

Microsoft AI-900 cheat sheet will help you with last-minute preparation. This covers all the important topics, Microsoft documentation and study resources for a quick revision.


AI-900: Microsoft Azure AI Fundamentals Cheat Sheet

Candidates applying for this exam are not required to have Data science and software engineering experience are not required. However, some general programming knowledge or experience would be beneficial.

If you want to cancel or reschedule the exam, then you are required to do it at least 6 days prior to your appointment. In case you failed to do it 24 hours prior to the exam then it may result in loss of the entire fee.

Microsoft introduces innovative testing technologies and question types, so, they do not provide for the specific item types that will appear on a given exam.

The case study exam format uses complex scenarios that more accurately simulate what professionals do on the job. However, scenario-based questions included in the case studies are designed to test your ability to identify the critical information needed to solve a problem and then analyze and synthesize it to make decisions.

Yes, you may review the questions in a case study only after moving to the next case or section of the exam. After completing a case study and its associated questions, a review screen will appear.

Focus on enhancing knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Get familiar with topics like:

  • Describe AI workloads and considerations 
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of conversational AI workloads on Azure 


How hard is Microsoft Azure AI Fundamentals (AI-900) Exam?

Microsoft AI-900 exam tutorial provides a step by step details about the exam. This provides a study guide that covers all the major concepts with appropriate reference links.


Microsoft Azure AI Fundamentals Exam AI-900 Online Tutorial

Microsoft Azure AI Fundamentals (AI-900) Exam gives the opportunity to demonstrate your knowledge of common ML and AI workloads and how to implement them on Azure. The Azure AI Fundamentals exam can also be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

Microsoft Azure AI Fundamentals (AI-900) Exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required. However, it is suggested to have some general programming knowledge or experience. This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

Yes, you can use the Microsoft AI-900 interview questions. This covers all the major questions and will help you in enhancing your knowledge level.

The Microsoft Azure AI Fundamentals (AI-900) Exam covers the following topics -

  • Domain 1 - Describe AI workloads and considerations (15-20%)
  • Domain 2 - Describe fundamental principles of machine learning on Azure (30-35%)
  • Domain 3 - Describe features of computer vision workloads on Azure (15-20%)
  • Domain 4 - Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
  • Domain 5 - Describe features of conversational AI workloads on Azure (15-20%)

The Microsoft Azure AI Fundamentals (AI-900) Exam helps to prove your skills and expertise in the following domains -

  • AI workloads and considerations
  • Fundamental principles of machine learning on Azure
  • Features of computer vision workloads on Azure
  • Features of Natural Language Processing (NLP) workloads on Azure
  • Features of conversational AI workloads on Azure.

After you complete your exam, the points you earned on each question are summed and then compared with the cut score to determine whether the result is pass or fail.

 

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