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

Dell EMC D-GAI-F-01 Exam - Topic 2 Question 20 Discussion

Actual exam question for Dell EMC's D-GAI-F-01 exam
Question #: 20
Topic #: 2
[All D-GAI-F-01 Questions]

A company is planning to use Generative Al.

What is one of the do's for using Generative Al?

Show Suggested Answer Hide Answer
Suggested Answer: D

Feature-based transfer learning involves leveraging certain features learned by a pre-trained model and adapting them to a new task. Here's a detailed explanation:

Feature Selection: This process involves identifying and selecting specific features or layers from a pre-trained model that are relevant to the new task while discarding others that are not.

Adaptation: The selected features are then fine-tuned or re-trained on the new dataset, allowing the model to adapt to the new task with improved performance.

Efficiency: This approach is computationally efficient because it reuses existing features, reducing the amount of data and time needed for training compared to starting from scratch.


Pan, S. J., & Yang, Q. (2010). A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345-1359.

Yosinski, J., Clune, J., Bengio, Y., & Lipson, H. (2014). How Transferable Are Features in Deep Neural Networks? In Advances in Neural Information Processing Systems.

by Roxanne at Mar 05, 2025, 02:52 PM

Limited Time Offer

25%

Off

Get Premium D-GAI-F-01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Willis
6 months ago
Creating undue risk? That's a hard pass for me!
upvoted 0 times
...
Victor
6 months ago
Not sure about this whole Generative AI thing...
upvoted 0 times
...
Jamal
6 months ago
Wait, people actually think ignoring ethics is okay?
upvoted 0 times
...
Erin
6 months ago
Agree, setting it and forgetting it is a bad idea.
upvoted 0 times
...
Ezekiel
7 months ago
Definitely invest in talent and infrastructure!
upvoted 0 times
...
Glenna
7 months ago
I vaguely recall a practice question about minimizing risk with AI. So, creating undue risk seems like the opposite of what we should do.
upvoted 0 times
...
Angella
7 months ago
I feel like ethical considerations are a big deal in AI, so ignoring them can't be a do. That rules out option C for me.
upvoted 0 times
...
Marshall
7 months ago
I'm not entirely sure, but I think "set and forget" is definitely not a good practice. It sounds familiar from a case study we did.
upvoted 0 times
...
Aliza
7 months ago
I remember discussing the importance of investing in talent and infrastructure for successful AI implementation. That seems like a solid choice.
upvoted 0 times
...
Tandra
8 months ago
"Set and forget" definitely doesn't sound like a good idea. Generative AI needs ongoing monitoring and adjustment to ensure it's being used responsibly. I'll steer clear of that one.
upvoted 0 times
...
Augustine
8 months ago
Investing in talent and infrastructure sounds like a smart approach to me. Generative AI requires significant resources and expertise to implement effectively, so that's likely the best "do" option here.
upvoted 0 times
...
Evelynn
8 months ago
Hmm, I'm a bit unsure about this one. Generative AI is a complex topic, and I want to make sure I understand the nuances before answering. I'll try to eliminate the clearly wrong options first.
upvoted 0 times
...
Golda
8 months ago
This seems like a straightforward question about best practices for using Generative AI. I'll carefully read through the options and select the one that best aligns with the "do's" for this technology.
upvoted 0 times
...
Lili
8 months ago
Ignoring ethical considerations is a big no-no when it comes to Generative AI. That could lead to all sorts of problems, so I'll steer clear of option C.
upvoted 0 times
...
Freeman
8 months ago
Option B, "set and forget," sounds like a recipe for disaster. Generative AI requires ongoing monitoring and adjustment, so that's definitely not a good strategy.
upvoted 0 times
...
Paris
8 months ago
Investing in talent and infrastructure seems like the most sensible approach to using Generative AI effectively. I'll go with option A.
upvoted 0 times
...
Gwenn
8 months ago
Hmm, I'm a bit unsure about this one. The options seem to cover different aspects of Generative AI usage, but I'll need to think carefully about which one is the best "do" recommendation.
upvoted 0 times
...
Sharee
8 months ago
This seems like a straightforward question about best practices for using Generative AI. I'll focus on the key do's and don'ts mentioned in the options.
upvoted 0 times
...
Golda
1 year ago
Invest in talent and infrastructure? Sounds like the smart move to me. Gotta lay the groundwork before you can reap the benefits.
upvoted 0 times
Lucia
11 months ago
Absolutely, laying the groundwork is essential for long-term success with Generative AI.
upvoted 0 times
...
Louisa
11 months ago
A) Invest in talent and infrastructure
upvoted 0 times
...
Adelina
11 months ago
No, you can't just set and forget when it comes to using Generative AI. It requires ongoing monitoring and adjustments.
upvoted 0 times
...
Donette
12 months ago
B) Set and forget
upvoted 0 times
...
Aileen
12 months ago
That's right, investing in talent and infrastructure is crucial for successful implementation of Generative AI.
upvoted 0 times
...
Bonita
12 months ago
A) Invest in talent and infrastructure
upvoted 0 times
...
...
Emile
1 year ago
Creating undue risk? Nah, that's not how I roll. I'd rather be safe than sorry when it comes to Generative AI.
upvoted 0 times
...
Lorrie
1 year ago
Ignoring ethical considerations? That's like playing with fire and expecting not to get burned. Not a good idea!
upvoted 0 times
Melodie
11 months ago
A: Definitely, it's important to consider the ethical implications of using AI.
upvoted 0 times
...
Aja
11 months ago
B: Yeah, ignoring ethical considerations can lead to serious consequences.
upvoted 0 times
...
Jodi
12 months ago
A: Investing in talent and infrastructure is crucial for using Generative AI.
upvoted 0 times
...
...
Glen
1 year ago
Setting and forgetting Generative AI? That's like leaving a hungry toddler alone in a candy store - recipe for disaster!
upvoted 0 times
Orville
12 months ago
A: Ignoring ethical considerations when using Generative AI can have serious consequences.
upvoted 0 times
...
Refugia
12 months ago
B: Setting and forgetting Generative AI can lead to unexpected outcomes and errors.
upvoted 0 times
...
Chanel
1 year ago
A: Investing in talent and infrastructure is crucial for successful implementation of Generative AI.
upvoted 0 times
...
...
Cristy
1 year ago
Investing in talent and infrastructure is definitely the way to go. You can't just expect Generative AI to work miracles without the right foundation.
upvoted 0 times
Elmira
12 months ago
B) Set and forget
upvoted 0 times
...
Cletus
12 months ago
That's right, having the right team and resources is crucial for success.
upvoted 0 times
...
Stephane
1 year ago
A) Invest in talent and infrastructure
upvoted 0 times
...
...
Roxane
1 year ago
I believe setting and forgetting Generative AI can lead to potential risks and errors, so it's important to invest in talent and infrastructure instead.
upvoted 0 times
...
An
1 year ago
I agree with Micah, investing in talent and infrastructure is crucial for successful implementation of Generative AI.
upvoted 0 times
...
Micah
1 year ago
I think the do's for using Generative AI is to invest in talent and infrastructure.
upvoted 0 times
...
Dean
1 year ago
I think it's selecting specific features of a model to keep while removing others.
upvoted 0 times
...
Lynette
1 year ago
I think it's enhancing the model's features with real-time data.
upvoted 0 times
...
Stefan
1 year ago
I believe it's about training a model on entirely new features.
upvoted 0 times
...
Agustin
1 year ago
Transferring the learning process to a new model? Isn't that just called 'learning'? A is way too obvious.
upvoted 0 times
...
Antonio
1 year ago
I think feature-based transfer learning is transferring the learning process to a new model.
upvoted 0 times
...
Vivan
1 year ago
I'm going with B. If I'm starting with a new dataset, I might as well train the model on entirely new features. Fresh start, you know?
upvoted 0 times
Kelvin
1 year ago
I'm going with B. If I'm starting with a new dataset, I might as well train the model on entirely new features. Fresh start, you know?
upvoted 0 times
...
Krystina
1 year ago
B) Set and forget
upvoted 0 times
...
Layla
1 year ago
A) Invest in talent and infrastructure
upvoted 0 times
...
...

Save Cancel