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Simulated AI-900: Microsoft Azure AI Fundamentals (ENG).
3 students

Simulated AI-900: Microsoft Azure AI Fundamentals (ENG).

Questions and answers (Simulated) Updated 2024 - Exam AI-900: Microsoft Azure AI Fundamentals
Last updated 2/2024
English

What you'll learn

  • Describe Artificial Intelligence workloads and considerations (20-25%)
  • Describe fundamental principles of machine learning on Azure (25-30%)
  • Describe features of computer vision workloads on Azure (15-20%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)

Included in This Course

140 questions
  • SIMULATED 1 - UPDATED - 2024 (35 QUESTIONS).35 questions
  • SIMULATED 2 - UPDATED - 2024 (35 QUESTIONS).35 questions
  • SIMULATED 3- UPDATED - 2024 (35 QUESTIONS).35 questions
  • SIMULATED 4 - UPDATED - 2024 (35 QUESTIONS).35 questions

Description

Exam AI-900: Microsoft Azure AI Fundamentals


Updated - 2024


SIMULATED for Exam AI-900: Microsoft Azure AI Fundamentals entirely in ENGLISH, there are 140 up-to-date questions and answers divided into modules (so you don't get tiring).


MULTIPLE CHOICES

HOTSPOT

DRAG DROP

MULTIPLE SELECTION


This exam is an opportunity to demonstrate knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Candidates for this exam should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.


Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian


Test content:

Describe Artificial Intelligence workloads and considerations (20-25%)

Describe fundamental principles of machine learning on Azure (25-30%)

Describe features of computer vision workloads on Azure (15-20%)

Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)


Prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; and features of Natural Language Processing (NLP) workloads on Azure.


This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, awareness of cloud basics and client-server applications would be beneficial.


Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of them.



NOTE: Pass score is 700


Who this course is for:

  • This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, awareness of cloud basics and client-server applications would be beneficial.