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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q94-Q99):

NEW QUESTION # 94
Which features in Generative Annotation are automatically enabled on datasets in Communication Mining technology?

A. Preview Mode
B. Taxonomy Uploading
C. Sentiment Analysis
D. Assisted Labelling

Answer: D

Explanation:
In UiPath Communication Mining, the Generative Annotation feature automatically enables Assisted Labelling on datasets. Assisted Labelling helps to accelerate the labeling process by automatically suggesting relevant labels based on the content of the communications. This feature significantly improves the efficiency of the model training process by reducing the manual effort required to label large datasets.
For more details, refer to:
* UiPath Communication Mining Documentation: Generative Annotation and Assisted Labelling
* Labeling and Annotation in UiPath Communications Mining: UiPath AI Center Documentation

NEW QUESTION # 95
What is the difference between the Document Understanding Process and the Document Understanding Framework?

A. The Document Understanding Process contains the activities that can be used in a Library, while the Document Understanding Framework is the template that can be found in Studio.
B. The Document Understanding Framework contains the activities that can be used in a Process, while the Document Understanding Process is the template that can be found in Studio.
C. The Document Understanding Framework contains the activities that can be used in a Library, while the Document Understanding Process is the template that can be found in Studio.
D. The Document Understanding Process contains the activities that can be used in a Process, while the Document Understanding Framework is the template that can be found in Studio.

Answer: D

Explanation:
According to the UiPath documentation portal1, the Document Understanding Process is a fully functional UiPath Studio project template based on a document processing flowchart. It provides logging, exception handling, retry mechanisms, and all the methods that should be used in a Document Understanding workflow, out of the box. The Document Understanding Process is preconfigured with a series of basic document types in a taxonomy, a classifier configured to distinguish between these classes, and extractors to showcase how to use the Data Extraction capabilities of the framework. It is meant to be used as a best practice example that can be adapted to your needs while displaying how to configure each of its components1. The Document Understanding Framework, on the other hand, is a set of activities that can be used to build custom document processing workflows. The framework facilitates the processing of incoming files, from file digitization to extracted data validation, all in an open, extensible, and versatile environment. The framework enables you to combine different approaches to extract information from multiple document types. The framework consists of several components, such as Taxonomy, Digitization, Classification, Data Extraction, Data Validation, and Data Consumption2. Therefore, option D is the correct answer, as it describes the difference between the Document Understanding Process and the Document Understanding Framework.
References: 1 Document Understanding Process: Studio Template 2 Document Understanding - Introduction

NEW QUESTION # 96
In the UiPath Implementation Methodology, which phase involves building the SDD (Solution Design Document)?

A. Process Design phase
B. User Acceptance Testing phase
C. Kick-off phase
D. Solution Design phase

Answer: D

NEW QUESTION # 97
Which of the following statements is true regarding reviewing and applying entities in UiPath Communications Mining?

A. A single entity value can be split across multiple paragraphs.
B. All of the entities in a communication must be reviewed.
C. All of the entities within a paragraph should be reviewed.
D. If the entity value is correctly predicted, but the entity type is wrong, it cannot be changed.

Answer: C

Explanation:
According to the UiPath Communications Mining documentation, reviewing and applying entities is a crucial step for improving the accuracy and performance of the entity extraction models. When reviewing entities, users should check all of the predicted entities within a paragraph, as well as any missing or incorrect ones.
Users can accept, reject, edit, or create entities using the platform's interface or keyboard shortcuts. Users can also change the entity type if the value is correct but the type is wrong. Reviewing and applying entities helps the platform learn from the user feedback and refine its predictions over time. It also helps users assess the automation potential and benefit of the communications data.
References:
* Communications Mining - Reviewing and applying entities
* Communications Mining - Improving entity performance

NEW QUESTION # 98
What is the correct execution order of the Document Understanding template stages?
Instructions: Drag the stages found on the "Left" and drop them on the "Right" in the correct order.

Answer:

Explanation:

Explanation:
The correct execution order of the Document Understanding template stages is:
* Taxonomy
* Digitize
* Classify
* Extract
* Extraction Validation
* Export
Comprehensive and Detailed Explanation: The Document Understanding template stages are based on a document processing flowchart that follows these steps:
* First, you need to define the Taxonomy of the document types and fields that you want to process and extract information from. This is done using the Taxonomy Manager in UiPath Studio1.
* Next, you need to Digitize the input documents, which can be in various formats such as PDF, image, or text. This is done using the Digitize Document activity, which converts the documents into a machine-readable format and performs OCR if needed2.
* Then, you need to Classify the digitized documents into the predefined document types in your taxonomy. This is done using the Classify Document Scope activity, which can use various classifiers such as Keyword Based Classifier, Machine Learning Classifier, or Intelligent Form Extractor3.
* After that, you need to Extract the relevant information from the classified documents based on the fields in your taxonomy. This is done using the Data Extraction Scope activity, which can use various extractors such as Regex Based Extractor, Machine Learning Extractor, or Form Extractor.
* Next, you need to perform Extraction Validation to review and correct the extracted information, either manually or automatically. This is done using the Present Validation Station activity, which can use either the Validation Station or the Action Center for human-in-the-loop validation.
* Finally, you need to Export the validated information to the desired output location, such as a file, a database, or a queue. This is done using the Export Extraction Results activity, which can use various exporters such as Excel Exporter, CSV Exporter, or Queue Item Exporter.
References:
* UiPath Studio - Taxonomy Manager
* UiPath Activities - Digitize Document
* UiPath Activities - Classify Document Scope

NEW QUESTION # 99
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