Google Exam Professional Machine Learning Engineer Topic 2 Question 95 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam

Question #: 95
Topic #: 2

[All Professional Machine Learning Engineer Questions]

You work at an organization that maintains a cloud-based communication platform that integrates conventional chat, voice, and video conferencing into one platform. The audio recordings are stored in Cloud Storage. All recordings have an 8 kHz sample rate and are more than one minute long. You need to implement a new feature in the platform that will automatically transcribe voice call recordings into a text for future applications, such as call summarization and sentiment analysis. How should you implement the voice call transcription feature following Google-recommended best practices?

AUse the original audio sampling rate, and transcribe the audio by using the Speech-to-Text API with synchronous recognition.

BUse the original audio sampling rate, and transcribe the audio by using the Speech-to-Text API with asynchronous recognition.

CUpsample the audio recordings to 16 kHz. and transcribe the audio by using the Speech-to-Text API with synchronous recognition.

DUpsample the audio recordings to 16 kHz. and transcribe the audio by using the Speech-to-Text API with asynchronous recognition.

Show Suggested Answer

Suggested Answer: D

by Dell at Jan 13, 2025, 09:25 PM

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Desirae

7 days ago

Hold up, did they say the recordings are more than a minute long? Synchronous recognition might not be the best choice then. I'd go with option D to avoid any performance issues.

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Elza

15 days ago

Hmm, I'm not sure about that. Wouldn't option B be a simpler and more straightforward approach? Sticking with the original sample rate and using asynchronous recognition could work just as well.

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Virgie

2 days ago

User 1: I think option B would be simpler and more straightforward.

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Sheridan

19 days ago

I think option D is the way to go. Upsampling the audio to 16 kHz and using asynchronous recognition seems like the most robust and scalable solution.

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Melissa

1 days ago

I think option A might be faster since it uses the original audio sampling rate.

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Tamie

8 days ago

I agree, option D seems like the best choice for accurate transcription.

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