Google Exam Associate Cloud Engineer Topic 3 Question 84 Discussion

Actual exam question for Google's Associate Cloud Engineer exam

Question #: 84
Topic #: 3

[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 Vannessa at Jun 02, 2024, 06:18 AM

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Pamela

5 months ago

Ha, running a Python script with a Linux cron job? That's so old-school. Cloud Functions is the way of the future, my friend.

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Milly

4 months ago

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

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Chantell

5 months ago

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

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Delsie

6 months ago

I like the simplicity of Option D. Automatically triggered by the Storage bucket events? Sign me up! No need to worry about cron jobs or manual processes.

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Oneida

6 months ago

Hmm, I'm not sure about Kubernetes or Compute Engine for this task. Cloud Functions seems like the most efficient and low-maintenance option.

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Zana

5 months ago

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

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Naomi

5 months ago

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

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Madelyn

6 months ago

I agree, Cloud Functions is the way to go. Plus, it aligns with Google's recommended practices for a fully managed solution. Thumbs up!

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Alfreda

5 months ago

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

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Lizette

6 months ago

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

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Dona

6 months ago

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

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Delfina

6 months ago

Option D all the way! Cloud Functions are the perfect serverless solution for this use case. Easy to set up and no infrastructure to manage.

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Xuan

5 months ago

I agree, Cloud Functions make it super easy to automate the process without worrying about managing servers.

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Marsha

6 months ago

Option D is definitely the way to go. Cloud Functions are so convenient for this task.

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Gail

6 months ago

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

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Remona

6 months ago

I prefer option B. App Engine standard environment seems like a simpler solution.

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Lucia

6 months ago

I agree with you, Nan. Using a Cloud Function triggered by bucket events is more efficient.

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Nan

6 months ago

I think option D is the best choice.

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