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| Topic | Details |
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| Topic 1 | - Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.
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| Topic 2 | - Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.
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Microsoft Azure AI Fundamentals Sample Questions (Q11-Q16):
NEW QUESTION # 11
Select the answer that correct completes the sentence.

Answer:
Explanation:

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.
NEW QUESTION # 12
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.

Answer:
Explanation:

Explanation:
Box 1: No
No, not all AI models in Azure can analyze and generate images. Azure hosts a vast model catalog (such as through Foundry Models) containing thousands of specialized foundation models, where capabilities depend entirely on the specific model architecture.
Box 2: Yes
A multimodal generative AI model in Azure can absolutely interpret image inputs within a prompt.
These advanced systems process text and visual data simultaneously. This allows you to ask questions about an uploaded image directly in your text prompt.
Box 3: Yes
These advanced systems process text and visual data simultaneously. This allows you to ask questions about an uploaded image directly in your text prompt.
Reference:
https://learn.microsoft.com/en-us/azure/developer/ai/get-started-app-chat-vision
NEW QUESTION # 13
Match the description to the corresponding Microsoft Foundry tools.
To answer, drag the appropriate description from the column on the left to its tool on the right. Each description may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

Speech recognition is used to recognize spoken language and convert it into written text. Therefore, the correct match is:
Speech recognition = Transcribes spoken input
Speech synthesis , also known as text to speech , is used to convert text into spoken audio. Therefore, the correct match is:
Speech synthesis = Generates spoken output
The other options are incorrect for these two tools:
Extracts entities from the output is a text analytics / language processing task.
Translates spoken input is speech translation.
Translates written output is text translation.
NEW QUESTION # 14
Your company processes customer support emails.
You need to implement an AI solution that automatically identifies mentions of people, organizations, and locations in the emails.
Which text analysis technique should you use?
- A. sentiment analysis
- B. key phrase extraction
- C. Named Entity Recognition (NER)
- D. summarization
Answer: C
Explanation:
The correct text analysis technique is Named Entity Recognition (NER).
Microsoft defines NER as a feature that identifies and categorizes entities in unstructured text, including people, places, and organizations.
Sentiment analysis detects positive, negative, or neutral opinion. Summarization creates shorter versions of text. Key phrase extraction identifies important phrases, but it does not specifically classify mentions as people, organizations, or locations.
NEW QUESTION # 15
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:
Explanation:

NEW QUESTION # 16
......
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