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| Topic | Details |
|---|
| Topic 1 | - 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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| Topic 2 | - 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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Microsoft Azure AI Fundamentals Sample Questions (Q90-Q95):
NEW QUESTION # 90
Which natural language processing feature can be used to identify the main talking points in customer feedback surveys?
- A. entity recognition
- B. key phrase extraction
- C. translation
- D. language detection
Answer: B
Explanation:
To identify main talking points in feedback using Azure natural language processing, the Key Phrase Extraction feature within the Azure AI Language service is the most appropriate choice.
This feature analyzes text and extracts the most relevant and important phrases, effectively highlighting the core topics or themes present in the feedback.
Reference:
https://learn.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
NEW QUESTION # 91
Select the answer that correctly completes the sentence.

Answer:
Explanation:

NEW QUESTION # 92
You are developing an application that analyze invoices by using Azure Content Understanding in Foundry Tools.
You need to ensure that the application retrieves the analysis results after processing completes.
How should you complete the Python code? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

The completed code is:
poller = client.begin_analyze(
analyzer_id= " invoice " ,
input_url=url
)
result = poller.result()
Azure Content Understanding analysis uses a long-running operation pattern. The Python SDK returns a poller from begin_analyze(), and Microsoft documentation states that the SDK poller handles polling automatically when you call .result().
Therefore, to retrieve the analysis results after processing completes, the correct option is:
result
The other options are incorrect because status checks operation state, wait waits without returning the final analysis object, and get_results is not the method shown for retrieving the begin_analyze() result in this code pattern.
NEW QUESTION # 93
Your company provides users with clear information about an Al system ' s purpose, functionality, and limitations. Which Microsoft responsible Al principle is this an example of?
- A. transparency
- B. reliability and safety
- C. fairness
- D. accountability
Answer: A
Explanation:
Providing users with clear information about an AI system's purpose, functionality, and limitations is an example of the Microsoft responsible AI principle of transparency . Transparency means users should be able to understand when and how AI is being used, what the system can do, and what its limitations are.
NEW QUESTION # 94
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. image analyzer
- B. audio analyzer
- C. document analyzer
- D. video analyzer
Answer: B
Explanation:
To extract a transcript and structured information from voicemail recordings, you should use an audio analyzer.In Azure Content Understanding, analyzers are configured based on the type of data being processed. Since voicemail recordings are conversational audio content, an audio analyzer is designed to handle speech-to-text transcription, speaker labeling, and extracting the relevant structured fields.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/audio/overview
NEW QUESTION # 95
......
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