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UiPath Exam UiPath-SAIv1 Topic 2 Question 23 Discussion

Actual exam question for UiPath's UiPath-SAIv1 exam
Question #: 23
Topic #: 2
[All UiPath-SAIv1 Questions]

What function in the train.py file is responsible for persisting the trained model?

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Suggested Answer: C

by Alyce at Sep 14, 2024, 07:15 PM

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Avery
2 months ago
I bet the person who wrote this question was having a good laugh. 'Let's see if they can tell the difference between saving and evaluating the model!'
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Rosio
16 days ago
C) train(setf. trainmg_directory}
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Pearlene
20 days ago
B) save(self)
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Valentine
26 days ago
A) evaluate(self, evaluation_directory)
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Eloisa
2 months ago
I was going to choose A) evaluate(self, evaluation_directory), but then I reaEttieed that's for evaluating the model, not saving it. Gotta love these tricky certification questions!
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Berry
17 days ago
User 3: I agree, B) save(self) is the function responsible for persisting the trained model.
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Mel
26 days ago
User 2: Yeah, that makes sense. A) evaluate(self, evaluation_directory) is for evaluating, not saving.
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Curt
1 months ago
User 1: I think the correct function is B) save(self)
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Ettie
2 months ago
B) save(self) sounds right. I mean, how else would you save the model for later use? Definitely not A) evaluate(self, evaluation_directory).
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Gladys
2 months ago
D) __init__(self) is a constructor, not a function for saving the model. Come on, this is a basic Python question!
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Ruthann
3 days ago
D) __init_(self)
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Willard
13 days ago
C) train(setf. trainmg_directory}
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Rebbecca
15 days ago
B) save(self)
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Francesco
20 days ago
A) evaluate(self, evaluation_directory)
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Kris
2 months ago
I thought it would be C) train(self, training_directory). Isn't that where the model is trained and should be saved?
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Ivette
2 months ago
The correct answer is B) save(self). This function is responsible for persisting the trained model.
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Amber
2 months ago
Oh, thanks for clarifying. I wasn't sure which function was responsible for that.
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Francoise
2 months ago
I think the correct answer is B) save(self). That function is responsible for persisting the trained model.
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Malika
2 months ago
I'm not sure, but I think it makes sense that save function would be used for that purpose
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Blythe
2 months ago
I agree with Bette, the save function is responsible for persisting the trained model
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Bette
3 months ago
I think the answer is B) save(self)
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