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The Microsoft AI-900 exam covers a range of topics including the fundamentals of AI and machine learning, the different types of AI models, and how to build and train machine learning models using Microsoft Azure. AI-900 Exam is also designed to evaluate your understanding of key ethical and responsible AI principles and how to implement them in real-world scenarios.

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Microsoft AI-900 Certification is a valuable credential for anyone interested in the field of AI and looking to build a career in this area. It provides a solid foundation in AI technologies and Azure services, which can be used to develop innovative solutions and drive business growth.

Microsoft Azure AI Fundamentals Sample Questions (Q111-Q116):

NEW QUESTION # 111
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

Answer: B

Explanation:
Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud.
Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/


NEW QUESTION # 112
Which two languages can you use to write custom code for Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE; Each correct selection is worth one point.

Answer: A,B


NEW QUESTION # 113
Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Answer: C,D

Explanation:
Conversational AI workloads involve human-like dialogue with AI systems.
* A: A smart assistant (e.g., smart speaker) uses voice-based conversational AI.
* B: A knowledge-based chatbot interacts with users via natural language.Options C and D describe automation/IoT workloads, not conversational AI.
# Final Answer (Q110): A and B


NEW QUESTION # 114
What can be used to analyze scanned invoices and extract data, such as billing addresses and the total amount due?

Answer: D

Explanation:
The correct answer is B. Azure AI Document Intelligence (formerly Form Recognizer).
This Azure service uses AI and OCR technologies to analyze and extract structured data from documents such as invoices, receipts, and purchase orders. It identifies key fields like billing address, invoice number, total amount due, and line items. The service supports prebuilt models for common document types and custom models for specialized layouts.
Option review:
* A. Azure AI Search: Used for knowledge mining and semantic search, not document data extraction.
* B. Azure AI Document Intelligence - # Correct. Designed for form and invoice extraction.
* C. Azure AI Custom Vision: Used for image classification and object detection, not text extraction.
* D. Azure OpenAI: Generates or processes language but not structured document data.
Therefore, Azure AI Document Intelligence is the right service to extract data from scanned invoices.


NEW QUESTION # 115
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:


NEW QUESTION # 116
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