Google Exam Associate Cloud Engineer Topic 1 Question 97 Discussion

Actual exam question for Google's Associate Cloud Engineer exam

Question #: 97
Topic #: 1

[All Associate Cloud Engineer Questions]

You need to extract text from audio files by using the Speech-to-Text API. The audio files are pushed to a Cloud Storage bucket. You need to implement a fully managed, serverless compute solution that requires authentication and aligns with Google-recommended practices. You want to automate the call to the API by submitting each file to the API as the audio file arrives in the bucket. What should you do?

ARun a Kubernetes job to scan the bucket regularly for incoming files, and call the Speech-to-Text API for each unprocessed file.

BCreate an App Engine standard environment triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-Text API.

CRun a Python script by using a Linux cron job in Compute Engine to scan the bucket regularly for incoming files, and call the Speech-to-Text API for each unprocessed file.

DCreate a Cloud Function triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-Text API.

Show Suggested Answer

Suggested Answer: B

by Quinn at Oct 18, 2024, 03:33 PM

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21 days ago

Option D is the way to go! A Cloud Function is the perfect serverless solution for this use case.

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Jill

6 days ago

User 1: Option D is the way to go!

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Kristofer

2 months ago

I agree with Ranee. Cloud Functions are the recommended way to automate tasks like this and it aligns with Google's best practices.

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Ranee

2 months ago

I think option D is the best choice because it uses Cloud Functions which are serverless and can be triggered by bucket events.

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