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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q120-Q125):

NEW QUESTION # 120
Where should a model be pinned in UiPath Communications Mining?

A. In Admin > Models.
B. On the models tab.
C. When setting up a stream.
D. In the validation page.

Answer: B

Explanation:
According to UiPath documentation, model versions can be pinned and managed on the "models" tab, ensuring that users can maintain and revert to specific versions when necessary for continuity and performance

NEW QUESTION # 121
How many types of synchronization mechanisms exist in the Document Understanding Process to prevent multiple robots to write in a file at the same time?2

A. 0
B. 1
C. 2
D. 3

Answer: C

NEW QUESTION # 122
For an analytics use case, what are the recommended minimum model performance requirements in UiPath Communications Mining?

A. Model Ratings of "Good" and individual performance factors rated as "Excellent".
B. Model Ratings of "Good" or better and individual performance factors rated as "Good" or better.
C. Model Ratings of "Excellent" and individual performance factors rated as "Excellent".
D. Model Ratings of "Excellent" and individual performance factors rated as "Good" or better.

Answer: B

NEW QUESTION # 123
What are all the types of ML (Machine Learning) models supported by Al Center?

A. Out-of-the-box models from UiPath technology partners and custom models.
B. Out-of-the-box models from UiPath technology partners, and open-source models from the community.
C. Out-of-the-box models from UiPath and UiPath technology partners.
D. Out-of-the-box models from UiPath, UiPath technology partners, open-source models from the community, and custom models.

Answer: D

Explanation:
In UiPath AI Center, the platform supports several types of machine learning (ML) models, including:
* Out-of-the-box models from UiPath: Pre-built models designed for common automation tasks.
* Models from UiPath technology partners: External models developed by UiPath's partners.
* Open-source models: Community-contributed models that can be used and adapted for various use cases.
* Custom models: Models that users build and train specifically for their projects using their datasets.
This flexibility in model support ensures that organizations can leverage a wide range of machine learning capabilities to suit different automation needs.
For more details, refer to:
* UiPath AI Center Documentation: AI Center Models
* Machine Learning Model Types: Types of Models in UiPath AI Center

NEW QUESTION # 124
When creating a training dataset, what is the recommended number of samples for the Classification fields?

A. 20-50 document samples from each class.
B. 10-20 document samples from each class.
C. 50-200 document samples from each class.
D. 5-10 document samples from each class.

Answer: A

Explanation:
According to the UiPath documentation, the recommended number of samples for the classification fields depends on the number of document types and layouts that you want to classify. The more document types and layouts you have, the more samples you need to cover the diversity of your data. However, a general guideline is to have at least 20-50 document samples from each class, as this would provide enough data for the classifiers to learn from12. A large number of samples per layout is not mandatory, as the classifiers can generalize from other layouts as well3.
References: 1: Document Classification Training Overview 2: Document Classification Training Related Activities 3: Training High Performing Models

NEW QUESTION # 125
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