퍼펙트한AI-901인기자격증덤프문제덤프자료

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AI-901인기자격증 덤프문제, AI-901최신 인증시험자료, AI-901퍼펙트 공부자료, AI-901적중율 높은 시험덤프자료, AI-901시험내용

IT국제공인자격증Microsoft AI-901시험대비덤프를 제공하는 전문적인 사이트로서 회원님의 개인정보를 철저하게 보호해드리고 페이팔을 통한 결제라 안전한 결제를 진행할수 있습니다. Microsoft AI-901 덤프외에 다른 인증시험덤프에 관심이 있으신 분은 온라인 서비스를 클릭하여 문의해주세요.

Microsoft AI-901 Exam Overview:

Certification Vendor: Microsoft
Exam Name: Microsoft Azure AI Fundamentals
Exam Number: AI-901
Certificate Validity Period: Lifetime
Passing Score: 700
Exam Price: $99 USD
Exam Format: Multiple choice, Case studies, Multiple select
Available Languages: French, Korean, Portuguese (Brazil), Italian, German, Russian, Japanese, Chinese (Simplified), English, Chinese (Traditional), Spanish, Arabic (Saudi Arabia), Indonesian (Indonesia)
Real Exam Qty: 30-40
Exam Duration: 60 minutes
Recommended Training: Microsoft Learn: AI concepts for developers and technology professionals
Microsoft Learn: Get started with Microsoft Foundry
Exam Registration: Pearson VUE Scheduling
Microsoft Certification Exam Registration
Sample Questions: Microsoft AI-901 Sample Questions
Exam Way: Online proctored or onsite at Pearson VUE test centers
Pre Condition: No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended
Official Syllabus URL: https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/

>> AI-901인기자격증 덤프문제 <<

시험패스에 유효한 AI-901인기자격증 덤프문제 덤프샘플문제

Itcertkr전문가들은Microsoft AI-901인증시험만을 위한 특별학습가이드를 만들었습니다.Microsoft AI-901인증시험을 응시하려면 30분이란 시간만 투자하여 특별학습가이드로 빨리 관련지식을 장악하고,또 다시 복습하고 안전하게Microsoft AI-901인증시험을 패스할 수 잇습니다.자격증취득 많은 시간과 돈을 투자한 분들보다 더 가볍게 이루어졌습니다

Microsoft AI-901 시험요강:

주제 소개
주제 1
  • Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.
주제 2
  • Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.

최신 Microsoft Certified: Azure AI Fundamentals AI-901 무료샘플문제 (Q54-Q59):

질문 # 54
What can be used to analyze scanned invoices and extract data, such as billing addresses and the total amount due?

  • A. Azure AI Search
  • B. Azure AI Document Intelligence
  • C. Azure OpenAI
  • D. Azure AI Custom Vision

정답:B

설명:
The Document Intelligence invoice model uses powerful Optical Character Recognition (OCR) capabilities to analyze and extract key fields and line items from sales invoices, utility bills, and purchase orders.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/invoice


질문 # 55
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

정답:

설명:

Explanation:
Box 1: Yes
Yes, image analysis capabilities in Azure Vision in Foundry Tools can perform optical character recognition (OCR). The built-in Read OCR engine extracts both printed and handwritten text in multiple languages and writing styles from images and documents.
Box 2: Yes
Yes, image analysis capabilities in Azure Vision in Foundry Tools can automatically generate concise one-sentence human-readable captions and descriptive content tags for thousands of recognizable objects, living beings, actions, and settings.
Box 3: No
Image analysis capabilities in Foundry Tools are designed to process, interpret, and extract insights from existing images, rather than create new ones.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-image-analysis


질문 # 56
Your company provides users with clear information about an AI system's purpose, functionality, and limitations. Which Microsoft responsible AI principle is this an example of?

  • A. fairness
  • B. transparency
  • C. reliability and safety
  • D. accountability

정답:B

설명:
Transparency is the Microsoft responsible AI principle that provides clear information about an AI system's purpose, how it works, and its limitations.
System Purpose: Explains what the AI is designed to do and how it helps users.
Functionality: Shows how the model makes decisions or generates content.
Limitations: Warns users about potential errors, blind spots, or times when the AI might be wrong.
User Awareness: Ensures people know they are interacting with an AI system.
Reference:
https://www.microsoft.com/en-us/ai/principles-and-approach


질문 # 57
You are developing an AI-powered customer support application.
Which task is an example of the Microsoft responsible AI principle of inclusiveness?

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

정답:D

설명:
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


질문 # 58
Select the answer that correctly complete the sentence.

정답:

설명:

Explanation:

The Model catalog is used for comparing and deploying a wide range of models for generative AI development in Microsoft Foundry.
Microsoft documentation states that the model catalog in Foundry portal is the hub for discovering and using a wide range of models to build generative AI applications . It also includes many models across providers such as Azure OpenAI, Mistral, Meta, Cohere, NVIDIA, and Hugging Face.
The Microsoft Learn module for Foundry models also states that the model catalog is used to explore and filter models , compare models using benchmark metrics , and deploy a model to an endpoint .


질문 # 59
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AI-901최신 인증시험자료: https://www.itcertkr.com/AI-901_exam.html

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