AI-900: Microsoft Azure AI Fundamentals Practice Tests

Practice Assessments Test on Microsoft Azure AI 900 certification exam, our newest non-free exam preparation resource that allows you to assess your knowledge and fill knowledge gaps so that you are better prepared for your certification exam.

This assessment provide you with an overview of the style, wording, and difficulty of the questions you’re likely to experience in the real AI 900 exam. By this AI-900 practice tests which will test your knowledge, you’re able to assess your readiness, determine where additional preparation is needed, and fill knowledge gaps bringing you one step closer to the likelihood of passing your Microsoft AI certification exam.

Practice Test Main Language: English

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Yes.

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Exam Details

Exam Name: AI-900: Microsoft Azure AI Fundamentals

Number of Questions in AI 900 Microsoft Certification Exam: 35 to 55

Exam Duration: 60 mins

AI 900 Certification Passing Score: 700 points out from 1000
The number of questions on azure artificial intelligence certification exam is subject to change as Microsoft make updates to ensure it aligns with latest changes in the technology that fits the job role.

AI 900 Certification Exam Fees: $99 USD* Price based on the country or region in which the exam is proctored.

AI 900 Exam Question Types

We created quality tests to provide you with an opportunity to experience the real AI 900 exam questions and answers. You will have an opportunity to interact with the different question types that you may see during the actual MS AI 900 exam.

Real exam has questions like Single select, multiple select, Yes/No, Drag and Drop, Select from Drop-down and True/False.

AI 900: Microsoft Azure AI Fundamentals Exam Syllabus

Complete exam syllabus is given over here. That is, what are topics that will be covered in below individual sections.

1) Describe Artificial Intelligence workloads and considerations (15–20%)

2) Describe fundamental principles of machine learning on Azure (20–25%)

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

4) Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)

5) Describe features of generative AI workloads on Azure (15–20%)

1) Describe Artificial Intelligence workloads and considerations (15–20%)

Identify features of common AI workloads

• Identify features of data monitoring and anomaly detection workloads, content moderation and personalization workloads, generative AI workloads.
• Identify computer vision workloads, natural language processing workloads, knowledge mining workloads, document intelligence workloads.

Identify guiding principles for responsible AI

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

2) Describe fundamental principles of machine learning on Azure (20–25%)

Identify common machine learning techniques

• Identify regression, classification, clustering machine learning scenarios.
• Identify features of deep learning techniques.

Describe core machine learning concepts

• Identify features and labels in a dataset for machine learning.
• Describe how training and validation datasets are used in machine learning.

Describe Azure Machine Learning capabilities

• Describe capabilities of Automated machine learning.
• Describe data and compute services for data science and machine learning.
• Describe model management and deployment capabilities in Azure Machine Learning.

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

Identify common types of computer vision solution

• Identify features of image classification, object detection, optical character recognition (OCR), facial detection and facial analysis solutions.

Identify Azure tools and services for computer vision tasks

• Describe capabilities of the Azure AI Vision service, Face detection service, Video Indexer service.

4) Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)

Identify features of common NLP Workload Scenarios

• Identify features and uses for key phrase extraction, entity recognition, sentiment analysis, language modelling, speech recognition and synthesis and identify features and uses for translation.

Identify Azure tools and services for NLP workloads

• Describe capabilities of the Azure AI Language service, Speech service, Translator service.

5) Describe features of generative AI workloads on Azure (15–20%)

Identify features of generative AI solutions

• Identify features of generative AI models, common scenarios for generative AI and identify responsible AI considerations for generative AI.

Identify capabilities of Azure OpenAI Service

• Describe natural language generation capabilities of Azure OpenAI Service.
• Describe code generation capabilities of Azure OpenAI Service.
• Describe image generation capabilities of Azure OpenAI Service.

PREMIUM-QUALITY: These AI-900 multiple choice questions and answers (MCQs) are free from typos and technical errors which makes your learning experience much more pleasant. And this is latest/most recent AI 900 certification question bank with timer to improve your actual exam timings.

RANDOM QUESTIONS: Each time when you take this Azure AI 900 MCQ certification mock test, the questions and answers are randomized, making it more challenging to ensure you’re learning and not memorizing.

TEST REPORT: After completing the practice test, you are presented with MS AI-900 certification score report. This allows you to track your progress and highlights the knowledge areas you need to focus on the most in your studies.

TRY MULTIPLE TIMES: You can retake the exams as many times as you want and check your progress through final certification results.

PAUSE AND RESUME: You can pause the test at any time and resume later.

PROGRESS BAR: The progress bar at the top of the screen will show your progress as well as the time remaining in the test. If you run out of time, don’t worry; you will still be able to finish the test.

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OTHER KEY FEATURES:

➠You can skip a question to come back to at the end of the exam.

➠You can also use “Mark for Review” to come back to questions you are unsure about before you submit your test.

➠If you want to finish the test and see your results immediately, press the stop button.

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Note: This is a mock test and not AI 900 certification dumps for exam. These questions are only for practice and understanding level of knowledge. It is not necessary that these questions may or may not appear for examinations, but you will get Competitive and Academic Exams from these questions for sure.

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