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 Cloud Digital Leader Exam - Topic 8 Question 36 Discussion

An organization is using machine learning to make predictions. One of their datasets mistakenly includes mislabeled data.How will the prediction be impacted?
B) Increased risk of inaccuracy
A) Increased risk of privacy leaks
C) Decreased model compatibility
D) Decreased model training time

Google Cloud Digital Leader Exam - Topic 8 Question 36 Discussion

Actual exam question for Google's Cloud Digital Leader exam
Question #: 36
Topic #: 8
[All Cloud Digital Leader Questions]

An organization is using machine learning to make predictions. One of their datasets mistakenly includes mislabeled data.

How will the prediction be impacted?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Moon at Mar 25, 2023, 06:32 AM

Limited Time Offer

25%

Off

Get Premium Cloud Digital Leader Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Mica
7 months ago
It’s all about the quality of the data!
upvoted 0 times
...
Ilda
7 months ago
I’m not sure it affects privacy leaks, though.
upvoted 0 times
...
Angella
7 months ago
Wait, how does that even happen?
upvoted 0 times
...
Lelia
8 months ago
Totally agree, B is the right choice!
upvoted 0 times
...
Toi
8 months ago
Mislabeled data definitely leads to inaccuracies.
upvoted 0 times
...
Diane
8 months ago
Decreased model training time seems unlikely, but I can't recall if it would affect compatibility. I might lean towards option B too.
upvoted 0 times
...
Delpha
8 months ago
I don't think it would affect privacy leaks directly, but I guess it could lead to inaccuracies in predictions.
upvoted 0 times
...
Rose
8 months ago
I'm a bit unsure, but I feel like the model's accuracy would definitely be impacted. I think I saw a similar question in our practice tests.
upvoted 0 times
...
Lindsay
8 months ago
I remember we discussed how mislabeled data can lead to inaccurate predictions, so I think option B makes sense.
upvoted 0 times
...
Arlette
8 months ago
Decreased model training time seems unlikely, but I can't recall if it would affect compatibility. I might lean towards option B too.
upvoted 0 times
...
Julieta
8 months ago
I don't think it would affect privacy leaks directly, but I guess it could lead to inaccuracies in predictions.
upvoted 0 times
...
Danica
8 months ago
I'm a bit unsure, but I feel like the model's accuracy would definitely be impacted. I think I saw a similar question in our practice tests.
upvoted 0 times
...
Candida
8 months ago
I remember we discussed how mislabeled data can lead to inaccurate predictions, so I think option B makes sense.
upvoted 0 times
...
Beckie
8 months ago
Ah, I remember learning about this in class. The default username is usually something simple like "admin" or "administrator". I'll go with option A to play it safe.
upvoted 0 times
...
Kaycee
8 months ago
I think this has to do with something like cavitation, right? It sounds familiar, but I'm not entirely sure if it specifically mentions vapor bubbles.
upvoted 0 times
...
Martha
8 months ago
Is it possible we're missing a configuration step for the different zone set names? I remember a practice question that touched on this.
upvoted 0 times
...

Save Cancel