AI-901 Exams Dumps & AI-901 Exam Questions Vce

BONUS!!! Download part of iPassleader AI-901 dumps for free: https://drive.google.com/open?id=1KV37x79zXqqUZVqeMkXbYL1UDzjZpYXn

Microsoft provides the most reliable and authentic Microsoft AI-901 Exam prep material there is. The 3 kinds of Microsoft AI-901 Preparation formats ensure that there are no lacking points in a student when he attempts the actual AI-901 exam.

Microsoft AI-901 Exam Syllabus Topics:

Section	Weight	Objectives
Describe fundamental principles of machine learning on Azure (15-20%)	15-20%	- Describe Azure Machine Learning capabilities 1. Describe model management and deployment capabilities in Azure Machine Learning 2. Describe capabilities of automated machine learning 3. Describe data and compute services for data science and machine learning - Identify common machine learning techniques 1. Identify clustering machine learning scenarios 2. Identify regression machine learning scenarios 3. Identify features of deep learning techniques 4. Identify classification machine learning scenarios - Describe core machine learning concepts 1. Describe how training and validation datasets are used in machine learning 2. Identify features and labels for training data in machine learning
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)	15-20%	- Identify Azure tools and services for NLP workloads 1. Describe capabilities of the Azure AI Language service 2. Describe capabilities of the Azure AI Speech service - Identify features of common NLP workload scenarios 1. Identify features and uses for entity recognition 2. Identify features and uses for translation 3. Identify features and uses for sentiment analysis 4. Identify features and uses for key phrase extraction 5. Identify features and uses for language modeling 6. Identify features and uses for speech recognition and synthesis
Describe features of generative AI workloads on Azure (20-25%)	20-25%	- Identify features of generative AI solutions 1. Identify responsible AI considerations for generative AI 2. Identify common scenarios for generative AI 3. Identify features of generative AI models - Identify generative AI services and capabilities in Microsoft Azure 1. Describe features and capabilities of Azure AI Foundry model catalog 2. Describe features and capabilities of Azure AI Foundry 3. Describe features and capabilities of Azure OpenAI service
Describe features of computer vision workloads on Azure (15-20%)	15-20%	- Identify Azure tools and services for computer vision tasks 1. Describe capabilities of the Azure AI Vision service 2. Describe capabilities of the Azure AI Face detection service - Identify common types of computer vision solution 1. Identify features of optical character recognition (OCR) solutions 2. Identify features of semantic segmentation solutions 3. Identify features of object detection solutions 4. Identify features of image analysis solutions 5. Identify features of face detection and identification solutions 6. Identify features of image classification solutions
Describe Artificial Intelligence workloads and considerations (15-20%)	15-20%	- Identify features of common AI workloads 1. Identify features of document intelligence workloads 2. Identify features of computer vision workloads 3. Identify features of generative AI workloads 4. Identify features of content moderation and moderation workloads 5. Identify features of knowledge mining workloads 6. Identify features of Natural Language Processing (NLP) workloads - Identify guiding principles for responsible AI 1. Describe considerations for fairness in an AI solution 2. Describe considerations for reliability and safety in an AI solution 3. Describe considerations for transparency in an AI solution 4. Describe considerations for inclusiveness in an AI solution 5. Describe considerations for accountability in an AI solution 6. Describe considerations for privacy and security in an AI solution

>> AI-901 Exams Dumps <<

Microsoft AI-901 Exams Dumps - Microsoft Azure AI Fundamentals Realistic Exam Questions Vce 100% Pass

AI-901 study materials represent the major knowledge points, therefore you can just focus your attention on the practicing. AI-901 study guide is also high quality, and it will help you to pass the exam successfully. Besides, we have both online and offline chat service stuff, if you have any question about the AI-901 Exam Dumps, please don’t hesitate to inquiry us. We have the professional knowledge, and we will give you the reply that can solve your problem.

Microsoft Azure AI Fundamentals Sample Questions (Q95-Q100):

NEW QUESTION # 95
You are developing an AI-powered customer support application.
Which task is an example of the Microsoft responsible AI principle of inclusiveness?

A. Evaluate model outputs across demographic groups to reduce bias.
B. Encrypt stored customer data and restrict access by using role-based controls.
C. Design the interface to support multiple languages and screen readers.
D. Provide explanations about how predictions are generated.

Answer: C

Explanation:
The Microsoft responsible AI principle of inclusiveness means AI systems should be designed to empower and engage everyone, including people with different abilities, languages, and accessibility needs.
Therefore, designing the interface to support multiple languages and screen readers is an example of inclusiveness.
Why the other options are incorrect:
A . Provide explanations about how predictions are generated = Transparency C . Evaluate model outputs across demographic groups to reduce bias = Fairness D . Encrypt stored customer data and restrict access by using role-based controls = Privacy and security

NEW QUESTION # 96
Hotspot Question
You are developing an application that converts text into spoken audio and saves the synthesized audio to a file by using Azure Speech in Foundry Tools.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 97
You are developing an AI-powered customer support application. Which task is an example of the Microsoft responsible AI principle of inclusiveness?

A. Evaluate model outputs across demographic groups to reduce bias.
B. Encrypt stored customer data and restrict access by using role-based controls.
C. Design the interface to support multiple languages and screen readers.
D. Provide explanations about how predictions are generated.

Answer: C

NEW QUESTION # 98
Hotspot Question
Select the answer that correctly complete the sentence.

Answer:

Explanation:

NEW QUESTION # 99
Select the answer that correct completes the sentence.

Answer:

Explanation:

Explanation:
Azure Text Analytics client library
The completed sentence is:
To develop an application that analyzes text by using Azure Language in Foundry Tools, use the Azure Text Analytics client library package.
Azure Language text analysis features include sentiment analysis, key phrase extraction, named entity recognition, language detection, and other text analytics capabilities. These are accessed by using the Azure Text Analytics client library.
The highlighted Azure Speech SDK option is incorrect because it is used for speech workloads, such as speech recognition and speech synthesis, not text analysis.

NEW QUESTION # 100
......

The Microsoft Azure AI Fundamentals (AI-901)questions are in use by many customers currently, and they are preparing for their best future daily. Even the students who used it in the past to prepare for the Microsoft AI-901 Certification Exam have rated our practice questions as one of the best. You will receive updates till 365 days after your purchase, and there is a 24/7 support system that assists you whenever you are stuck in any problem or issues.

AI-901 Exam Questions Vce: https://www.ipassleader.com/Microsoft/AI-901-practice-exam-dumps.html

BONUS!!! Download part of iPassleader AI-901 dumps for free: https://drive.google.com/open?id=1KV37x79zXqqUZVqeMkXbYL1UDzjZpYXn