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Microsoft AI-901 Exam Syllabus Topics:

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

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Microsoft Azure AI Fundamentals Sample Questions (Q99-Q104):

NEW QUESTION # 99
Which Azure OpenAI model should you use to summarize the text from a document?

A. Codex
B. Whisper
C. DALL-E
D. GPT

Answer: D

Explanation:
You can use ChatGPT to summarize text. This can help you understand complex information more easily, summarize the central argument of your own paper, or clarify your research question.
Reference:
https://community.openai.com/t/information-summary-by-using-api/578792

NEW QUESTION # 100
You need to create an AI agent in Microsoft Foundry that follows a specific role and behavior when responding to users. What should you configure?

A. tokens per minute (TPM)
B. max completion tokens
C. temperature
D. system instructions

Answer: D

Explanation:
To create an AI agent that follows a specific role and behavior, you configure system instructions.
Microsoft Foundry Agent Service documentation states that agent instructions define goals, constraints, and behavior.

NEW QUESTION # 101
Select the answer that correctly completes the sentence.

Answer:

Explanation:

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.

NEW QUESTION # 102
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 103
You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:
* Accept customer orders
* Retrieve support documents
* Retrieve order status updates.
Which type of NLP should you use?

A. sentiment analysis
B. named entity recognition
C. translation
D. language understanding

Answer: D

Explanation:
The chatbot must interpret user intent and route actions such as accepting orders, retrieving support documents, and retrieving order status. This is language understanding , because the system must understand what the user wants to do from natural language input.

NEW QUESTION # 104
......

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