Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Google Associate Cloud Engineer Exam - Topic 3 Question 84 Discussion

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?
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.
A) Run a Kubernetes job to scan the bucket regularly for incoming files, and call the Speech-to-Text API for each unprocessed file.
C) Run 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.
D) Create a Cloud Function triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-Text API.

Google Associate Cloud Engineer Exam - 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?

Show Suggested Answer Hide Answer
Suggested Answer: B

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

Limited Time Offer

25%

Off

Get Premium Associate Cloud Engineer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Jutta
7 months ago
Not sure about B, App Engine feels a bit overkill for this.
upvoted 0 times
...
Joni
8 months ago
A seems more robust, but I guess D is simpler.
upvoted 0 times
...
Belen
8 months ago
Wait, can you really automate that with Cloud Functions? Sounds too easy!
upvoted 0 times
...
Bambi
8 months ago
I agree, D is definitely the way to go!
upvoted 0 times
...
Onita
8 months ago
Option D is the best choice! Super efficient.
upvoted 0 times
...
Darnell
9 months ago
I recall something about serverless solutions being preferred, so maybe option D is the best fit, but I’m not completely confident.
upvoted 0 times
...
Susy
9 months ago
I think we practiced a similar question where we used App Engine, but I'm leaning towards Cloud Functions for this one.
upvoted 0 times
...
Yvonne
9 months ago
I'm not entirely sure, but I feel like Kubernetes jobs might be overkill for this scenario. Isn't there a simpler way?
upvoted 0 times
...
Farrah
9 months ago
I remember we discussed using Cloud Functions for event-driven tasks, so I think option D could be the right choice here.
upvoted 0 times
...
Junita
9 months ago
I'm pretty confident that option B is the way to go here. Using an App Engine standard environment to handle the API calls seems like the most straightforward and Google-recommended approach. Plus, it's fully managed, so we don't have to worry about the underlying infrastructure.
upvoted 0 times
...
Novella
9 months ago
Okay, I think I've got a good handle on this. The key is to use a fully managed, serverless compute solution like App Engine or Cloud Functions to automatically process the files as they arrive in the bucket. That way, we don't have to worry about managing any infrastructure or scaling. I'm going to go with option D - a Cloud Function triggered by the bucket events.
upvoted 0 times
...
Polly
9 months ago
Hmm, I'm a bit unsure about this one. I'm not too familiar with the Speech-to-Text API, so I'll need to do some research on how it works and what the best practices are for integrating it. I'm not sure if a Kubernetes job or a cron job would be the right approach here.
upvoted 0 times
...
Terrilyn
9 months ago
This seems like a straightforward serverless solution, so I'm leaning towards either B or D. I think creating a Cloud Function to handle the API call would be the most efficient and scalable approach.
upvoted 0 times
...
Elroy
9 months ago
I'm a bit confused by some of the technical terms like "IBN" and "edge data." I'll need to make sure I understand those concepts before I can confidently select the best answer.
upvoted 0 times
...
Sanjuana
10 months ago
Okay, let me think this through. The question says the engineer selected an internal identity store, but the user is configured with an external one. I'm guessing that would cause some kind of conflict, so maybe the answer is D - authentication fails.
upvoted 0 times
...
Justine
10 months ago
I think "All" is definitely too permissive to prevent toll fraud. We need something more specific, like "Neighbor Zone." That sounds right!
upvoted 0 times
...
Pamela
2 years 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.
upvoted 0 times
Milly
2 years ago
D) Create a Cloud Function triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-Text API.
upvoted 0 times
...
Chantell
2 years 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.
upvoted 0 times
...
...
Delsie
2 years 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.
upvoted 0 times
...
Oneida
2 years 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.
upvoted 0 times
Zana
2 years ago
D) Create a Cloud Function triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-Text API.
upvoted 0 times
...
Naomi
2 years 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.
upvoted 0 times
...
...
Madelyn
2 years 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!
upvoted 0 times
Alfreda
2 years ago
D) Create a Cloud Function triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-Text API.
upvoted 0 times
...
Lizette
2 years 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.
upvoted 0 times
...
Dona
2 years 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.
upvoted 0 times
...
...
Delfina
2 years 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.
upvoted 0 times
Xuan
2 years ago
I agree, Cloud Functions make it super easy to automate the process without worrying about managing servers.
upvoted 0 times
...
Marsha
2 years ago
Option D is definitely the way to go. Cloud Functions are so convenient for this task.
upvoted 0 times
...
Gail
2 years ago
D) Create a Cloud Function triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-Text API.
upvoted 0 times
...
...
Remona
2 years ago
I prefer option B. App Engine standard environment seems like a simpler solution.
upvoted 0 times
...
Lucia
2 years ago
I agree with you, Nan. Using a Cloud Function triggered by bucket events is more efficient.
upvoted 0 times
...
Nan
2 years ago
I think option D is the best choice.
upvoted 0 times
...

Save Cancel