Cyber Monday 2024! Hurry Up, Grab the Special Discount - Save 25%
- Ends In
00:00:00
Coupon code:
SAVE25
X
Welcome to Pass4Success
Login
|
Sign up
-
Free
Preparation Discussions
Mail Us
support@pass4success.com
Location
US
MENU
Home
Popular vendors
Salesforce
Microsoft
Nutanix
Amazon
Google
CompTIA
SAP
VMware
Fortinet
PeopleCert
Eccouncil
HP
Palo Alto Networks
Adobe
ServiceNow
Dell EMC
CheckPoint
Linux Foundation
Discount Deals
New
About
Contact
Login
Sign up
Home
Discussions
Amazon Discussions
Exam AIF-C01 Topic 2 Question 5 Discussion
Amazon Exam AIF-C01 Topic 2 Question 5 Discussion
Actual exam question for Amazon's AIF-C01 exam
Question #: 5
Topic #: 2
[All AIF-C01 Questions]
Which metric measures the runtime efficiency of operating AI models?
A
Customer satisfaction score (CSAT)
B
Training time for each epoch
C
Average response time
D
Number of training instances
Show Suggested Answer
Hide Answer
Suggested Answer:
C
by
Ryann
at
Sep 07, 2024, 03:51 PM
Limited Time Offer
25%
Off
Get Premium AIF-C01 Questions as Interactive Web-Based Practice Test or PDF
Contribute your Thoughts:
Submit
Cancel
Ona
2 months ago
I see your point, but I still think B) Training time for each epoch is the most relevant metric.
upvoted
0
times
...
Howard
2 months ago
Ha! I bet the correct answer is 'Sarcasm per minute' - that's the true test of any AI model's efficiency!
upvoted
0
times
...
Jutta
2 months ago
Customer satisfaction score? Seriously? That's like asking a robot to bake a cake. We're talking about AI, not customer service!
upvoted
0
times
Delila
30 days ago
D) Number of training instances
upvoted
0
times
...
Franklyn
1 months ago
C) Average response time
upvoted
0
times
...
Donte
1 months ago
B) Training time for each epoch
upvoted
0
times
...
...
Luann
2 months ago
I'm not sure, but I think it might be D) Number of training instances.
upvoted
0
times
...
Amos
3 months ago
Number of training instances? Pfft, quantity over quality? I don't think so. Runtime efficiency is where it's at, baby!
upvoted
0
times
Abel
1 months ago
Customer satisfaction score reflects the success of the AI model in real-world scenarios.
upvoted
0
times
...
Carissa
1 months ago
But number of training instances can impact the overall performance.
upvoted
0
times
...
Lenna
2 months ago
Average response time is also important to consider.
upvoted
0
times
...
Glenn
2 months ago
Training time for each epoch is crucial for efficiency.
upvoted
0
times
...
...
Carma
3 months ago
I disagree, I believe the correct answer is C) Average response time.
upvoted
0
times
...
Billye
3 months ago
Training time for each epoch? Nah, that's just the warm-up. We want the real deal - how fast can it process data in the real world!
upvoted
0
times
Quiana
2 months ago
C) Average response time
upvoted
0
times
...
Jamika
2 months ago
A) Customer satisfaction score (CSAT)
upvoted
0
times
...
...
Ona
3 months ago
I think the answer is B) Training time for each epoch.
upvoted
0
times
...
Donte
3 months ago
Average response time? That's a no-brainer! Gotta keep those AI models snappy, am I right?
upvoted
0
times
Alex
2 months ago
I agree, keeping the response time low is key to providing a seamless user experience.
upvoted
0
times
...
Corazon
3 months ago
Absolutely! Average response time is crucial for ensuring the efficiency of AI models.
upvoted
0
times
...
...
Log in to Pass4Success
×
Sign in:
Forgot my password
Log in
Report Comment
×
Is the comment made by
USERNAME
spam or abusive?
Commenting
×
In order to participate in the comments you need to be logged-in.
You can
sign-up
or
login
Save
Cancel
Ona
2 months agoHoward
2 months agoJutta
2 months agoDelila
30 days agoFranklyn
1 months agoDonte
1 months agoLuann
2 months agoAmos
3 months agoAbel
1 months agoCarissa
1 months agoLenna
2 months agoGlenn
2 months agoCarma
3 months agoBillye
3 months agoQuiana
2 months agoJamika
2 months agoOna
3 months agoDonte
3 months agoAlex
2 months agoCorazon
3 months ago