Microsoft AI-901 Exam Syllabus Topics:
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Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-901
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Microsoft Azure AI Fundamentals Sample Questions:
You need to compare the costs of large language models (LLMs) for a generative AI solution.
What should you use in the Microsoft Foundry portal?
- A. Compliance
- B. Model leaderboard
- C. Evaluator catalog
- D. Tools
Correct Answer: B π³οΈ
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
Which statement is an example of a Microsoft responsible Al principle?
- A. Al systems must use only publicly available data.
- B. Al systems must keep personal details public.
- C. Al systems must be understandable.
- D. Al systems must protect the interests of the company.
Correct Answer: C π³οΈ
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
Stating the source of the data used to train a model is an example of which responsible Al principle?
- A. fairness
- B. transparency
- C. reliability and safety
- D. privacy and security
Correct Answer: B π³οΈ
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
Which natural language processing feature can be used to identify the main talking points in customer feedback surveys?
- A. language detection
- B. entity recognition
- C. translation
- D. key phrase extraction
Correct Answer: D π³οΈ
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
Azure Content Understanding in Foundry Tools uses transcription to convert speech to text from audio and video.
Transcription is the process of converting spoken audio into written text. In Azure Content Understanding, audio and video analyzers can use transcription to produce text transcripts from spoken content.
The other options are incorrect:
diarization identifies or separates speakers, such as "Speaker 1" and "Speaker 2." key phrase extraction identifies important phrases from text after text exists.
synthesis converts text into spoken audio, which is the opposite direction of speech-to-text.
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