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Microsoft AI-901 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement AI solutions by using Microsoft Foundry55-60%- Implement AI solutions
  • 1. Implement single-agent solutions
  • 2. Use code examples to call AI services
  • 3. Monitor and manage AI solutions
  • 4. Integrate AI services into applications
- Get started with Microsoft Foundry
  • 1. Describe core features and use cases of Microsoft Foundry
  • 2. Navigate the Microsoft Foundry portal
  • 3. Create and configure a Foundry project
- Work with models in Microsoft Foundry
  • 1. Fine-tune models
  • 2. Customize models with prompt engineering
  • 3. Discover and deploy foundation models
  • 4. Evaluate model performance and safety
Topic 2: Identify AI concepts and responsibilities40-45%- Identify AI model components and configurations
  • 1. Describe model training and evaluation concepts
  • 2. Describe model deployment and consumption concepts
  • 3. Describe data preparation for AI models
- Describe principles of responsible AI
  • 1. Describe fairness considerations
  • 2. Describe privacy and security considerations
  • 3. Describe transparency considerations
  • 4. Describe inclusiveness considerations
  • 5. Describe accountability considerations
  • 6. Describe reliability and safety considerations
- Identify AI concepts and features
  • 1. Describe types of AI workloads
  • 2. Describe capabilities of machine learning
  • 3. Describe capabilities of natural language processing
  • 4. Describe capabilities of computer vision
  • 5. Describe characteristics of generative AI

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최신 Microsoft Certified: Azure AI Fundamentals AI-901 무료샘플문제 (Q64-Q69):

질문 # 64
You have a Microsoft Foundry project that contains a deployed generative Al model You need to develop an application by using the Microsoft Foundry SDK to send chat prompts to the deployed model Which information must the application include?

정답：C

설명：
To send chat prompts to a deployed model, the application needs authentication credentials, the endpoint URL, and the model deployment name . Microsoft's Foundry SDK guidance shows authentication with credentials, an endpoint, and the model= " model_deployment_name " value when calling a deployed model.


질문 # 65
Hotspot Question
Select the answer that correctly completes the sentence.

정답：

설명：

Explanation:
Box: computer vision
Counting the number of animals in an area using a video feed is a classic application of computer vision and object detection.
How It Works
Frame capture: The system takes video frames as digital images.
Object detection: AI models locate and draw bounds around each animal.
Tracking and counting: Algorithms count the distinct objects across frames.


질문 # 66
Select the answer that correctly completes the sentence.

정답：

설명：

Explanation:

The Model catalog is used for comparing and deploying a wide range of models for generative AI development.
Microsoft 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. Microsoft training also states that the model catalog is used to compare models by benchmark metrics and deploy models to endpoints.


질문 # 67
Select the answer that correct completes the sentence.

정답：

설명：

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.


질문 # 68
Based on the image provided, here is the transcribed text:
You need to build an AI solution that produces new product images based on written descriptions provided by users.
Which AI workload should you use?

정답：A

설명：
The requirement is to produce new product images based on written descriptions. This is an image generation workload, because the AI system is creating entirely new images from natural language prompts.


질문 # 69
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