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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q122-Q127):

NEW QUESTION # 122
How does Al Center handle versioning of ML packages?

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

Answer: A

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 # 123
What happens to your document and the process of pre-labeling when you choose the "Predict" option from the "Predict" dropdown in Document Manager?

A. It predicts all fields using the Generative Predict capability only, ignoring any pre-labeling endpoint that may be configured. If Generative Predict is not available, it will not predict any fields.
B. It predicts fields using the Generative Prelabeling for OOTB document types and the pre-labeling endpoint for custom document types.
C. It predicts fields using only the prelabeling endpoint model configured in the Prelabeling settings, and it does not use Generative Predict.
D. It merges the results of the Generative Predict functionality and the results of the prelabeling endpoint (if configured). If the latter is not configured, it uses solely Generative Predict for all fields.

Answer: D

NEW QUESTION # 124
What is the role of the Taxonomy Manager?

A. To create and edit a Taxonomy file specific to the current automation project.
B. To present a document processing specific user interface for validating and correcting automatic classification outputs.
C. To select the type of ML that can be used in the project.
D. To select which extractors are trained for each document type and field.

Answer: A

Explanation:
The Taxonomy Manager is a tool that enables you to create and edit a Taxonomy file, which is an XML file that defines the document types and fields that are relevant for your automation project1. The Taxonomy file is used by the Classify Document Scope and Data Extraction Scope activities to perform document classification and data extraction, respectively2. The Taxonomy Manager allows you to add, remove, rename, or reorder document types and fields, as well as specify the data type, format, and validation rules for each field3. The Taxonomy Manager also provides a preview of the Taxonomy file and a validation feature to check for errors or inconsistencies.
References:
1: About Taxonomy Manager 2: About Document Understanding Framework 3: Using the Taxonomy Manager : Taxonomy Manager User Interface Description

NEW QUESTION # 125
Which of the following functionalities does UiPath Assistant provide?

A. Developing automation workflows in UiPath Studio.
B. Running, managing, and organizing automation workflows on the user's machine.
C. Analyzing processes to determine optimal automation solutions.
D. Scheduling and monitoring robot processes in Orchestrator.

Answer: B

NEW QUESTION # 126
What do entities represent in UiPath Communications Mining?

A. Concepts, themes, and intents.
B. Structured data points.
C. Thread properties.
D. Metadata properties.

Answer: A

Explanation:
Entities are additional elements of structured data which can be extracted from within the verbatims. Entities include data such as monetary quantities, dates, currency codes, organisations, people, email addresses, URLs, as well as many other industry specific categories. Entities represent concepts, themes, and intents that are relevant to the business use case and can be used for filtering, searching, and analyzing the verbatims.
References:
* Communications Mining - Entities
* Communications Mining - Using Entities in your Application
* Communications Mining - Configuring Entities

NEW QUESTION # 127
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