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UiPath Exam UiPath-SAIv1 Topic 9 Question 28 Discussion

Actual exam question for UiPath's UiPath-SAIv1 exam
Question #: 28
Topic #: 9
[All UiPath-SAIv1 Questions]

Under what condition can a dataset be edited in UiPath AI Center?

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Suggested Answer: A

by Loreta at Oct 20, 2024, 09:35 PM

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Buddy
5 months ago
Hah, editing datasets? Sounds like a job for the data team. I'll just stick to the RPA side of things.
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Noel
5 months ago
Option B seems a bit too specific. I doubt there's a 24-hour rule for dataset editing.
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Wava
4 months ago
C) There are no restrictions in editing a dataset.
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Felicia
4 months ago
B) If it has not been modified within the last 24 hours.
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Chun
4 months ago
A) If it is not being used in any active pipeline.
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Antonette
5 months 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.
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Miles
4 months ago
Exactly, it's important to ensure smooth data editing processes.
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Glennis
4 months ago
That makes sense, you wouldn't want to disrupt any ongoing labeling tasks.
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Audra
4 months ago
Yes, if it's not linked to any labeling sessions, editing should be fine.
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Merilyn
4 months ago
I agree, D seems like the correct answer.
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Apolonia
5 months ago
I guess C is out of the question. There's gotta be some rules around editing datasets, otherwise it could get messy.
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Bobbye
5 months ago
Option A sounds the most reasonable. You wouldn't want to edit a dataset that's actively being used, right?
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Delbert
4 months ago
D) If it is not linked to any data labeling session.
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Dierdre
4 months ago
C) There are no restrictions in editing a dataset.
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Arlene
4 months ago
User 3: I always make sure a dataset is not being used before making any edits.
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Brunilda
5 months ago
User 2: Definitely, editing a dataset that's in use could cause issues.
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Pamella
5 months ago
B) If it has not been modified within the last 24 hours.
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Edna
5 months ago
A) If it is not being used in any active pipeline.
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Ettie
5 months ago
User 1: I agree, option A makes sense. It's important not to disrupt any active pipelines.
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Eun
5 months ago
I agree with Tanesha, because editing a dataset that is currently being used could cause errors in the pipeline.
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Tanesha
6 months ago
I think the answer is A) If it is not being used in any active pipeline.
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