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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q84-Q89):

NEW QUESTION # 84
While training a UiPath Communications Mining model, the Search feature was used to pin a certain label on a few communications. After retraining, the new model version starts to predict the tagged label but infrequently and with low confidence.
According to best practices, what would be the correct next step to improve the model's predictions for the label, in the "Explore" phase of training?

A. Use the "Rebalance" training mode to pin the label to more communications.
B. Use the "Search" feature to pin the label to more communications.
C. Use the 'Teach" training mode to pin the label to more communications.
D. Use the "Low confidence" training mode to pin the label to more communications.

Answer: C

Explanation:
According to the UiPath documentation, the 'Teach' training mode is used to improve the model's predictions for a specific label by pinning it to more communications that match the label's criteria. This helps the model learn from more examples and increase its confidence and accuracy. The 'Teach' mode also allows you to unpin the label from communications that do not match it, which helps the model avoid false positives. The other training modes are not as effective for this purpose, as they either focus on different aspects of the model performance or do not provide enough feedback to the model.
References:
* Model training and labelling best practice
* Overview of the model training process
* Model Training FAQs

NEW QUESTION # 85
What fields are available when creating an Al Center project?

A. Name and labels.
B. Name and description.
C. Name, description, and labels.
D. Name, description, and permissions.

Answer: B

Explanation:
When creating an AI Center project in UiPath, the fields available to input are the project's name and description. These fields allow you to clearly label and describe the purpose of the AI project within the UiPath platform. Permissions and labels can be managed separately after the project is created

NEW QUESTION # 86
How does Al Center handle versioning of ML packages?

A. Only ML packages uploaded by users change their minor version.
B. Versioning is not supported for ML packages.
C. Only ML packages retrained via pipelines change their minor version.
D. Only ML packages retrained via pipelines change their major version.

Answer: C

Explanation:
In UiPath AI Center, versioning of ML packages is an integral part of managing the lifecycle of machine learning models. Each ML package has a major and minor version to track changes. When an ML package is initially uploaded, it is assigned a major version (e.g., 1.0). If a package is retrained via pipelines, it increments the minor version (e.g., from 1.0 to 1.1). This mechanism helps differentiate between user- uploaded packages and those that have been retrained. Only packages that undergo retraining through pipelines modify their minor version, not the major version. Thus, answer D is correct.
(Source: docs.uipath.com on ML Package Management).

NEW QUESTION # 87
How is the Taxonomy component used in the Document Understanding Template?

A. To organize knowledge by using a controlled vocabulary to make it easier to find related information.
B. To apply rigor in the taxonomy of data, ensuring any newly discovered object fits into one and only one category or object.
C. To define the document types and the pieces of information targeted for data extraction (fields) for each document type.
D. To apply relationship schemas other than parent-child hierarchies, such as network structures on the processed data.

Answer: C

Explanation:
According to the UiPath documentation, the Taxonomy component is used in the Document Understanding Template to define the document types and the fields that are targeted for data extraction for each document type. The Taxonomy component is the metadata that the Document Understanding framework considers in each of its steps, such as document classification and data extraction. The Taxonomy component allows you to create, edit, import, or export the taxonomy of your project, which is a collection of document types and fields that suit your specific objectives. The Taxonomy component also allows you to configure the field types, details, and validations, as well as the supported languages and categories for your documents.
References:
* Document Understanding - Taxonomy
* Document Understanding - Taxonomy Overview
* Document Understanding - Create and Configure Fields

NEW QUESTION # 88
In the general fields training, what actions does the Communications Mining Train feature guide you through?

A. It guides you right from the moment you create a dataset with the next best action to take to advance your general fields training.
B. It guides you through the completion of model training before starling entity training.
C. It guides you to start entity training without a dataset.
D. It guides you to focus solely on model refinement.

Answer: A

Explanation:
his is confirmed in the UiPath documentation, where the "Train" feature guides users from the dataset creation stage through the necessary steps to optimize the training process. The system recommends next best actions based on progress to ensure efficient and focused training

NEW QUESTION # 89
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