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

HP Exam HPE2-N69 Topic 3 Question 33 Discussion

Actual exam question for HP's HPE2-N69 exam
Question #: 33
Topic #: 3
[All HPE2-N69 Questions]

At what FQDN (or IP address) do users access the WebUI Tor an HPE Machine Learning Development cluster?

Show Suggested Answer Hide Answer
Suggested Answer: B

The complexity of adjusting model code to distribute the training process across multiple GPUs. Deep learning (DL) training requires a large amount of computing power and can be accelerated by using multiple GPUs. However, this requires adjusting the model code to distribute the training process across the GPUs, which can be a complex and time-consuming process. Thus, the complexity of adjusting the model code is likely to continue to be a challenge in accelerating DL training.


by Beth at May 09, 2024, 10:35 PM

Limited Time Offer

25%

Off

Get Premium HPE2-N69 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Graciela
11 months ago
Yeah, B makes sense. More GPUs need proper coding.
upvoted 0 times
...
Katie
11 months ago
Possible, but more likely they'd struggle with the code adjustments.
upvoted 0 times
...
Mozelle
11 months ago
Could it be A, a lack of understanding of the DL model architecture?
upvoted 0 times
...
Margurite
11 months ago
I concur. Distributing across GPUs is not straightforward.
upvoted 0 times
...
Katie
11 months ago
I would say B, adjusting model code for multiple GPUs. It's highly technical.
upvoted 0 times
...
Graciela
11 months ago
This question seems tricky, what do you think is the main challenge for this company?
upvoted 0 times
...

Save Cancel