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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 132 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 132
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

A company is building a mobile app for users who have a visual impairment. The app must be able to hear what users say and provide voice responses.

Which solution will meet these requirements?

  • A. Use a deep learning neural network to perform speech recognition.
  • B. Build ML models to search for patterns in numeric data.
  • C. Use generative AI summarization to generate human-like text.
  • D. Build custom models for image classification and recognition.
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Suggested Answer: A 🗳️
by chris_spencer at Feb. 3, 2025, 4:17 p.m.
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65703c1
2 weeks, 6 days ago
Selected Answer: A
A is the correct answer
upvoted 1 times
...
kopper2019
6 months ago
Selected Answer: A
A. Use a deep learning neural network to perform speech recognition. This type of solution is similar to voice assistants like Amazon Alexa or Apple's Siri, which use deep learning for: Converting speech to text (speech recognition) Processing the request Converting response text back to speech (text-to-speech)
upvoted 1 times
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Jessiii
6 months, 1 week ago
Selected Answer: A
Deep learning neural networks are commonly used for speech recognition tasks, converting spoken language into text, which can then be processed to provide appropriate voice responses.
upvoted 1 times
...
ajey255
6 months, 2 weeks ago
Selected Answer: A
A. Other options don't meet the requirement of speech recognition and voice response
upvoted 1 times
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chris_spencer
6 months, 2 weeks ago
Selected Answer: A
A. Use a deep learning neural network to perform speech recognition. While C sounds feasible, it does not handle the input of the speeches
upvoted 2 times
...
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