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UiPath Exam UiPath-SAIAv1 Topic 20 Question 5 Discussion

Actual exam question for UiPath's UiPath-SAIAv1 exam
Question #: 5
Topic #: 20
[All UiPath-SAIAv1 Questions]

Which are all the options for managing ML Skills?

Show Suggested Answer Hide Answer
Suggested Answer: A

In UiPath AI Center, ML Skills can be managed in various ways, allowing users to customize and control how these skills are deployed and used. The management options include:

Creating a new ML skill.

Stopping a deployed skill.

Redeploying an ML skill.

Updating to a new package version.

Rolling back to a previous version if needed.

Modifying GPU usage.

Modifying the use of AI units.

Making the skill public or private.

Deleting an ML skill when no longer needed.

This provides flexibility for both managing the ML infrastructure and optimizing resources in real-time.

For more details, refer to:

UiPath AI Center Documentation: Managing ML Skills

ML Skill Management Options: Managing Machine Learning Skills in AI Center


Contribute your Thoughts:

Antonio
21 hours ago
Haha, I bet the exam writers had a field day coming up with all these options. C looks like the most comprehensive answer to me.
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Joesph
4 days ago
Hmm, I was debating between B and C, but I think C is the right answer. The ability to modify the use of GPU and AI units is a key feature for managing ML skills.
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Billy
7 days ago
I think the options for managing ML Skills are quite extensive.
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Gregoria
13 days ago
Wow, this question covers a lot of ground when it comes to managing ML skills. I'm pretty sure the answer is C, but I'm a little unsure about the GPU and AI units part.
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Georgeanna
2 days ago
I think the answer is A. It covers all the options for managing ML skills.
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