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 Professional Machine Learning Engineer Exam - Topic 8 Question 32 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 32
Topic #: 8
[All Professional Machine Learning Engineer Questions]

You are training a deep learning model for semantic image segmentation with reduced training time. While using a Deep Learning VM Image, you receive the following error: The resource 'projects/deeplearning-platforn/zones/europe-west4-c/acceleratorTypes/nvidia-tesla-k80' was not found. What should you do?

Show Suggested Answer Hide Answer
Suggested Answer: A

by Yolando at May 06, 2022, 12:40 PM

Limited Time Offer

25%

Off

Get Premium Professional Machine Learning Engineer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Marnie
5 months ago
I thought all GPUs had enough memory for any workload?
upvoted 0 times
...
Carman
6 months ago
Preemptible GPU quota? Not sure if that's necessary here.
upvoted 0 times
...
Lamonica
6 months ago
Wait, can you really run K80 in that zone? Sounds off.
upvoted 0 times
...
Chantell
6 months ago
I think having GPU quota is crucial too.
upvoted 0 times
...
Veronika
6 months ago
Definitely check the GPU availability in your region.
upvoted 0 times
...
Edison
6 months ago
I don't think it's about GPU memory since the error specifically mentions the resource not being found. So, I lean towards option B.
upvoted 0 times
...
Kip
6 months ago
I vaguely recall a practice question where we had to check for preemptible GPUs. Could option C be relevant here too?
upvoted 0 times
...
Lashawn
6 months ago
I think I remember that the error might be related to the GPU availability in the region. So, option B could be the right choice.
upvoted 0 times
...
Catarina
6 months ago
I'm not entirely sure, but I feel like we discussed something about checking the GPU quota before. Maybe option A is also worth considering?
upvoted 0 times
...
Jesusita
6 months ago
Alright, time to put my security knowledge to the test. I think I've got a good handle on the different proxy and inspection methods, so I'll give this my best shot.
upvoted 0 times
...
Dean
6 months ago
Okay, let me think this through. We need a storage solution that can handle large volumes of data, has geospatial capabilities, and supports machine learning. I'm leaning towards BigQuery, but I'll need to double-check the pricing and performance details to be sure it's the right choice.
upvoted 0 times
...
Cristy
6 months ago
I'm leaning towards option D because none of the other options seem to fit the public key requirement, but I hope I'm not missing something.
upvoted 0 times
...
Lauran
7 months ago
I'm pretty confident that Cloud Pub/Sub alone would be sufficient to meet the requirements here. The FIFO guarantee is a core feature of Pub/Sub, so I don't think we need any additional products.
upvoted 0 times
...

Save Cancel