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AI-900 Exam Dumps - Microsoft Azure AI Fundamentals

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Exam Code: AI-900

Exam Name: Microsoft Azure AI Fundamentals

Certification Provider: Microsoft

Corresponding Certifications: Microsoft Certified: Azure AI Fundamentals , Microsoft Azure , Microsoft Certification

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AI-900: Microsoft Azure AI Fundamentals Study Material and Test Engine

Last Update Check: Feb 22, 2024

Latest 224 Questions & Answers

Training Course 85 Lectures (6 Hours) - Course Overview

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Questions came word for word from this dump

What is in the Premium File?

Topic 1, New Update
94 Questions
Topic 2, Describe Artificial Intelligence workloads and considerations
23 Questions
Topic 3, Describe fundamental principles of machine learning on Azure
41 Questions
Topic 4, Describe features of computer vision workloads on Azure
20 Questions
Topic 5, Describe features of Natural Language Processing (NLP) workloads on Azure
27 Questions
Topic 6, Describe features of conversational AI workloads on Azure
19 Questions
Single Choices
95 Questions
Multiple Choices
31 Questions
Drag Drops
20 Questions
Hotspots
76 Questions
Simulations
2 Questions

Microsoft AI-900 Exam FAQs

Introduction of Microsoft AI-900 Exam!

Microsoft AI-900 is the Microsoft Azure AI Fundamentals certification exam. It is designed to validate the foundational knowledge and skills required to understand and implement Microsoft Azure AI services. The exam covers topics such as machine learning, natural language processing, computer vision, and conversational AI.

What is the Duration of Microsoft AI-900 Exam?

The Microsoft AI-900 exam is a one-hour exam.

What are the Number of Questions Asked in Microsoft AI-900 Exam?

There are 40 questions in the Microsoft AI-900 exam.

What is the Passing Score for Microsoft AI-900 Exam?

The passing score for the Microsoft AI-900 exam is 700 out of 1000.

What is the Competency Level required for Microsoft AI-900 Exam?

The Microsoft AI-900 exam is designed for individuals who have a basic understanding of artificial intelligence (AI) concepts and technologies. The exam does not require any specific competency level. However, it is recommended that candidates have a basic understanding of AI concepts and technologies, such as machine learning, natural language processing, computer vision, and robotics. Additionally, it is recommended that candidates have experience with Azure services, such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service.

What is the Question Format of Microsoft AI-900 Exam?

The Microsoft AI-900 exam consists of multiple-choice, short answer, and drag-and-drop questions.

How Can You Take Microsoft AI-900 Exam?

The Microsoft AI-900 exam can be taken either online or at a testing center. To take the online exam, you must first register and purchase an exam voucher and then schedule your exam date. Once the exam date is scheduled, you will receive an email with the exam voucher and instructions on how to access the exam. To take the exam at a testing center, you must register for the exam at a Pearson VUE testing center and then schedule and pay for the exam. You will then receive an email confirmation from Pearson VUE providing you with the details of your exam.

What Language Microsoft AI-900 Exam is Offered?

Microsoft AI-900 exam is offered in English only.

What is the Cost of Microsoft AI-900 Exam?

The Microsoft AI-900 exam is offered at a cost of $165 USD.

What is the Target Audience of Microsoft AI-900 Exam?

The target audience for the Microsoft AI-900 exam is IT professionals who have experience with artificial intelligence (AI) and machine learning (ML). This includes data scientists, software developers, DevOps engineers, and other IT professionals working with AI and ML solutions.

What is the Average Salary of Microsoft AI-900 Certified in the Market?

It is difficult to provide an accurate average salary estimate for an individual who has passed the Microsoft AI-900 exam, as salaries can vary greatly depending on a variety of factors such as job title, geographic location, years of experience, and company. Generally, however, individuals who have passed the Microsoft AI-900 exam can command higher salaries than those who have not.

Who are the Testing Providers of Microsoft AI-900 Exam?

Microsoft does not provide official testing for the AI-900 exam. However, it does provide official practice tests and study materials to help you prepare for the exam. Additionally, there are several third-party vendors that provide practice tests and study materials for the AI-900 exam.

What is the Recommended Experience for Microsoft AI-900 Exam?

Microsoft recommends that candidates for the AI-900 exam have at least six months of hands-on experience working with AI solutions and the Microsoft Azure platform. Additionally, experience with the following topics is beneficial:

• Understanding of machine learning and deep learning concepts.
• Knowledge of Azure AI-related services, such as Azure Machine Learning and Azure Cognitive Services.
• Understanding of natural language processing and computer vision.
• Knowledge of how to develop and manage AI solutions.
• Understanding of how to integrate AI solutions with existing systems and data sources.
• Familiarity with the end-to-end AI solution life cycle.

What are the Prerequisites of Microsoft AI-900 Exam?

The Microsoft AI-900 exam does not have any official prerequisites. It is recommended that candidates have some basic knowledge of Microsoft Azure and its services, as well as general knowledge of artificial intelligence concepts.

What is the Expected Retirement Date of Microsoft AI-900 Exam?

The official website to check the expected retirement date of Microsoft AI-900 exam is the Microsoft Learning website. The link is https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900.

What is the Difficulty Level of Microsoft AI-900 Exam?

The difficulty level of the Microsoft AI-900 exam is considered to be intermediate.

What is the Roadmap / Track of Microsoft AI-900 Exam?

The Microsoft AI-900 Exam Certification Track/Roadmap is a series of exams designed to help IT professionals gain the skills and knowledge needed to develop and deploy AI solutions. The track consists of four exams: AI-900: Microsoft Azure AI Fundamentals, AI-100: Designing and Implementing an Azure AI Solution, AI-102: Developing AI Solutions with Microsoft Azure, and AI-900: Microsoft Azure AI Fundamentals for Data Scientists. Each exam covers a different area of AI development, from fundamentals to advanced topics. The exams are designed to help IT professionals gain the skills and knowledge needed to develop and deploy AI solutions.

What are the Topics Microsoft AI-900 Exam Covers?

The Microsoft AI-900 exam covers five main topics:

1. Machine Learning: This topic covers the fundamentals of machine learning, including supervised and unsupervised learning, clustering, and neural networks.

2. Natural Language Processing (NLP): This topic covers techniques used to process and interpret natural language, such as text analysis, sentiment analysis, and entity extraction.

3. Computer Vision: This topic covers the use of computer vision algorithms to extract information from images and videos.

4. Bot Framework: This topic covers the use of the Microsoft Bot Framework to create and deploy intelligent bots.

5. Cognitive Services: This topic covers the use of Microsoft’s cognitive services to build intelligent applications.

What are the Sample Questions of Microsoft AI-900 Exam?

1. What is the purpose of the Azure AI Platform?
2. What are the components of the Microsoft AI Platform?
3. What are the differences between supervised and unsupervised learning?
4. How can Azure Machine Learning be used to create predictive models?
5. What are the components of the Microsoft Cognitive Services suite?
6. What are the benefits of using Azure Cognitive Services?
7. How can Azure Bot Service be used to create intelligent chatbots?
8. What are the best practices for designing and deploying AI solutions using Azure?
9. What are the security considerations when using Azure AI Platform?
10. What are the differences between Azure Machine Learning and Azure Cognitive Services?

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