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Under what condition can a dataset be edited in UiPath AI Center?
Suggested Answer: A
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35 comments · newest first
OD
Odette
10 months ago
C is misleading, there are always some restrictions!
WI
William
11 months ago
B sounds wrong, 24 hours seems too short for a restriction.
DO
Dortha
11 months ago
Wait, are you sure about that? What if it’s linked to something else?
DE
Deeanna
11 months ago
I agree, A makes the most sense here.
BR
Brandon
11 months ago
It's definitely A, can't edit if it's in use!
OD
Odette
12 months ago
I feel like there are restrictions on editing datasets, but I can’t recall the exact conditions. Maybe it’s related to active pipelines?
BE
Bev
12 months ago
I’m a bit confused about the 24-hour rule. Was there a specific time frame mentioned in our practice questions?
RI
Rikki
12 months ago
I remember something about datasets being editable only if they’re not in use by active pipelines. That sounds familiar.
CR
Crista
1 year ago
I think a dataset can be edited if it’s not linked to any data labeling session, but I’m not completely sure.
CH
Chun
1 year ago
Ah, I think I've got it! The dataset can be edited if it's not being used in any active pipeline. That seems like the most logical answer based on what I know about UiPath AI Center. I'll go with that.
OC
Octavio
1 year ago
I'm a bit confused by this question. I'm not entirely sure what the restrictions are for editing a dataset in UiPath AI Center. I'll have to review the material again to make sure I understand this properly.
PH
Phuong
1 year ago
I've got a good feeling about this one. I think the answer is that the dataset can be edited if it's not linked to any data labeling session. That makes the most sense to me.
JU
Juliann
1 year ago
Okay, let's see. I'm pretty sure it has something to do with the dataset not being used in an active pipeline, but I'm not 100% sure. I'll have to read the options carefully.
MA
Marya
1 year ago
Hmm, this seems like a tricky one. I'll need to think carefully about the conditions for editing a dataset in UiPath AI Center.
BU
Buddy
2 years ago
Hah, editing datasets? Sounds like a job for the data team. I'll just stick to the RPA side of things.
NO
Noel
2 years ago
Option B seems a bit too specific. I doubt there's a 24-hour rule for dataset editing.
WA
Wava
2 years ago
C) There are no restrictions in editing a dataset.
FE
Felicia
2 years ago
B) If it has not been modified within the last 24 hours.
CH
Chun
2 years ago
A) If it is not being used in any active pipeline.
AN
Antonette
2 years ago
D seems like the right answer. If it's not linked to any labeling sessions, then you should be able to edit it without disrupting anything.
MI
Miles
2 years ago
Exactly, it's important to ensure smooth data editing processes.
GL
Glennis
2 years ago
That makes sense, you wouldn't want to disrupt any ongoing labeling tasks.
AU
Audra
2 years ago
Yes, if it's not linked to any labeling sessions, editing should be fine.
ME
Merilyn
2 years ago
I agree, D seems like the correct answer.
AP
Apolonia
2 years ago
I guess C is out of the question. There's gotta be some rules around editing datasets, otherwise it could get messy.
BO
Bobbye
2 years ago
Option A sounds the most reasonable. You wouldn't want to edit a dataset that's actively being used, right?
DE
Delbert
2 years ago
D) If it is not linked to any data labeling session.
DI
Dierdre
2 years ago
C) There are no restrictions in editing a dataset.
AR
Arlene
2 years ago
User 3: I always make sure a dataset is not being used before making any edits.
BR
Brunilda
2 years ago
User 2: Definitely, editing a dataset that's in use could cause issues.
PA
Pamella
2 years ago
B) If it has not been modified within the last 24 hours.
ED
Edna
2 years ago
A) If it is not being used in any active pipeline.
ET
Ettie
2 years ago
User 1: I agree, option A makes sense. It's important not to disrupt any active pipelines.
EU
Eun
2 years ago
I agree with Tanesha, because editing a dataset that is currently being used could cause errors in the pipeline.
TA
Tanesha
2 years ago
I think the answer is A) If it is not being used in any active pipeline.