AI-901퍼펙트덤프데모문제보기, AI-901최신인증시험공부자료

Microsoft AI-901 덤프에 대한 자신감이 어디서 시작된것이냐고 물으신다면Microsoft AI-901덤프를 구매하여 시험을 패스한 분들의 희소식에서 온다고 답해드리고 싶습니다. 저희Microsoft AI-901덤프는 자주 업데이트되고 오래된 문제는 바로 삭제해버리고 최신 문제들을 추가하여 고객님께 가장 정확한 덤프를 제공해드릴수 있도록 하고 있습니다.

Microsoft AI-901 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Describe features of natural language processing (NLP) workloads on Azure	15-20%	- Azure NLP services 1. Azure AI Language 2. Speech services (speech-to-text, text-to-speech) - Text analysis 1. Key phrase extraction 2. Language detection 3. Sentiment analysis
Topic 2: Describe fundamental principles of machine learning on Azure	25-30%	- Azure Machine Learning basics 1. AutoML concepts 2. Azure ML workspace components - Machine learning concepts 1. Training and evaluation concepts 2. Supervised vs unsupervised learning 3. Regression and classification
Topic 3: Describe features of generative AI workloads on Azure	10-15%	- Generative AI concepts 1. Responsible use of generative AI 2. Large language models (LLMs) 3. Prompt engineering basics - Azure OpenAI and generative services 1. Azure OpenAI Service capabilities 2. Use cases: chatbots, content generation, summarization
Topic 4: Describe features of computer vision workloads on Azure	15-20%	- Azure AI Vision services 1. Face detection and analysis (limited use cases) 2. Azure AI Vision - Image analysis 1. Image classification 2. Optical character recognition (OCR) 3. Object detection
Topic 5: Describe Artificial Intelligence workloads and considerations	20-25%	- Identify features of common AI workloads 1. Conversational AI and chatbots 2. Document processing and extraction 3. Computer vision use cases 4. Natural language processing use cases - Responsible AI principles 1. Reliability and safety 2. Inclusiveness 3. Transparency and accountability 4. Privacy and security 5. Fairness

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Microsoft AI-901인증시험은 전문적인 관련지식을 테스트하는 인증시험입니다. DumpTOP는 여러분이Microsoft AI-901인증시험을 통과할 수 잇도록 도와주는 사이트입니다. 여러분은 응시 전 저희의 문제와 답만 잘 장악한다면 빠른 시일 내에 많은 성과 가 있을 것입니다.

최신 Microsoft Certified: Azure AI Fundamentals AI-901 무료샘플문제 (Q68-Q73):

질문 # 68
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：

질문 # 69
You are developing an application that analyzes voicemail recordings by using Azure Content Understanding in Foundry Tools.
You need to extract a transcript and structured information from the recordings.
Which type of analyzer should you use?

A. audio analyzer
B. image analyzer
C. video analyzer
D. document analyzer

정답：A

질문 # 70
You have an Al based loan approval system During testing, you discover that the system has a gender bias.
Which responsible Al principle does this violate?

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

정답：B

설명：
A loan approval system that shows gender bias violates the Microsoft responsible AI principle of fairness .
Fairness means AI systems should avoid unfair bias and should treat people equitably across demographic groups such as gender, race, age, and other protected or sensitive characteristics.

질문 # 71
You have a Microsoft Foundry project that contains a generative AI model deployment.
You test the model by using the Foundry playground.
You need to develop an application that sends requests to the deployed model.
Which information must the application include to call the model?

A. The Foundry project display name
B. The exported playground session history
C. The model training dataset
D. The model endpoint and authentication credentials

정답：D

설명：
To call a deployed Azure OpenAI model from an application, the app must know the service endpoint and authenticate its request. Microsoft documentation states that Azure OpenAI supports API key authentication or Microsoft Entra ID authentication, and API key authentication requires including the API key in the request. Microsoft quickstart guidance also states that to successfully make a call against Azure OpenAI, you need an endpoint and a key.
The application does not need the model training dataset, the Foundry project display name, or exported playground session history to call the deployed model.

질문 # 72
You need to build an AI solution that responds to user queries with detailed written explanations.
Which type of AI model should you use?

A. an embedding model
B. a text generation model
C. an image generation model
D. a speech recognition model

정답：B

질문 # 73
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경쟁율이 심한 IT시대에Microsoft AI-901인증시험을 패스함으로 IT업계 관련 직종에 종사하고자 하는 분들에게는 아주 큰 가산점이 될수 있고 자신만의 위치를 보장할수 있으며 더욱이는 한층 업된 삶을 누릴수 있을수도 있습니다. Microsoft AI-901시험을 가장 쉽게 합격하는 방법이 DumpTOP의Microsoft AI-901 덤프를 마스터한느것입니다.

AI-901최신 인증시험 공부자료: https://www.dumptop.com/Microsoft/AI-901-dump.html