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Microsoft AI-901 Exam Syllabus Topics:

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

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Wonderful AI-901 Exam Prep: Microsoft Azure AI Fundamentals demonstrates the most veracious Practice Dumps - ITPassLeader

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Microsoft Azure AI Fundamentals Sample Questions (Q88-Q93):

NEW QUESTION # 88
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:

Ongoing monitoring, feedback, and evaluation are goals of the Reliability & Safety principle.
The Microsoft responsible AI principle of Reliability and safety focuses on ensuring that AI systems operate consistently, safely, and as intended across different conditions. This includes testing, monitoring, collecting feedback, and evaluating system performance over time.
Why the other options are incorrect:
Human oversight and control aligns more closely with accountability.
Data governance and management aligns more closely with privacy and security.
The minimization of stereotyping, demeaning, and erasing outputs aligns more closely with fairness and inclusiveness.

NEW QUESTION # 89
You are developing an application that extracts fields from PDFs by using Azure Content Understanding in Foundry Tools.
You need to use the Python SDK to submit a PDF for analysis and retrieve the extraction results.
What should you do?

A. Call analyze() to return the extracted fields synchronously in the same request.
B. Call begin_analyze(), and then call poller.result() to retrieve the results.
C. Use optical character recognition (OCR) to extract text from the PDF and map the fields in the code.
D. Submit the PDF to an analyzer and read the results from the request headers.

Answer: B

Explanation:
To build an application that extracts fields from PDFs using Azure Content Understanding in Foundry Tools, you need to initialize the client library, use begin_analyze_binary to submit the file stream, and poll the long-running operation for the result.
Detail from implemenation:
Wait for the operation to complete and poll the results
result = poller.result()
Reference:
https://lobehub.com/pt-BR/skills/frank-luongt-faos-skills-marketplace-azure-ai-contentunderstanding-py

NEW QUESTION # 90
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 91
Capturing text from images is an example of which type of Al capability?

A. image description
B. object detection
C. optical character recognition (OCR)
D. text analysis

Answer: C

Explanation:
Capturing or reading text from images is optical character recognition (OCR) . OCR is used to detect and extract printed or handwritten text from images, scanned documents, and other visual content.

NEW QUESTION # 92
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. video analyzer
B. document analyzer
C. audio analyzer
D. image analyzer

Answer: C

NEW QUESTION # 93
......

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