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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q23-Q28):

NEW QUESTION # 23
In which of the following scenarios, the ML Classifier is the only recommended classifier to be used, according to best practice?

A. When the custom document types are very similar and file splitting is necessary.
B. When the custom document types are not similar and file splitting is not necessary.
C. When the custom document types are very similar and file splitting is not necessary.
D. When the custom document types are not similar and file splitting is necessary.

Answer: C

Explanation:
The ML Classifier is a document classifier that uses a machine learning model deployed as an ML Skill in AI Center to perform document classification tasks. The ML Classifier can work by default with Invoices, Purchase Orders, Receipts, and Utility Bills, or with custom document types that are trained using the Data Manager and the Machine Learning Classifier Trainer12.
According to the best practice, the ML Classifier is the only recommended classifier to be used when the custom document types are very similar and file splitting is not necessary. This is because the ML Classifier can handle complex and ambiguous cases where the document types are hard to distinguish by rules or keywords, and can also learn from feedback and improve over time. File splitting is not necessary when the documents are single-page or have a consistent number of pages per document type3.
The other options are not correct because they are scenarios where other classifiers, such as the Keyword Based Classifier or the Intelligent Keyword Classifier, can be used in combination with the ML Classifier or instead of it. These classifiers are based on rules or keywords that can identify the document types based on their content or metadata, and can also perform file splitting if the documents are multi-page or have a variable number of pages per document type3.
References: 1: Machine Learning Classifier - UiPath Activities 2: Machine Learning Classifier Trainer - UiPath Document Understanding 3: Document Classification - UiPath Document Understanding

NEW QUESTION # 24
What does the Export stage of the Document Understanding Framework do?

A. Converts the result of extraction to a dataset or to a customized format.
B. Classifies the document as one of the predefined document types.
C. Extracts the text out of the image document using OCR (Optical Character Recognition).
D. Allows a human to validate and correct the extracted data.

Answer: A

Explanation:
According to the UiPath documentation portal1, the Export stage of the Document Understanding Framework is the final stage of the document processing workflow, where the extracted data is converted to a dataset or to a customized format, such as Excel, JSON, or XML. The Export stage enables you to easily export data for training ML models, using the Export files dialog box in Data Manager or Document Manager. The Export stage also allows you to export the schema of the fields and their configurations, which can be imported into a different session. The Export stage supports different export options, such as current search results, all labeled, schema, or all. The Export stage also provides validation rules, such as requiring at least 10 labeled documents or pages for each field, and at least one document for each classification option1. Therefore, option A is the correct answer, as it describes the main function and benefit of the Export stage. Option B is incorrect, as it refers to the Data Validation stage, which is the previous stage of the document processing workflow, where a human can review and correct the extracted data using the Validation Station or the Present Validation Station activities2. Option C is incorrect, as it refers to the Classification stage, which is the second stage of the document processing workflow, where the document is classified as one of the predefined document types using the Classify Document Scope activity and a classifier of choice3. Option D is incorrect, as it refers to the Digitization stage, which is the first stage of the document processing workflow, where the text is extracted out of the image document using OCR (Optical Character Recognition) using the Digitize Document activity and an OCR engine of choice.
References: 1 Document Understanding - Export Documents 2 Document Understanding - Data Validation 3 Document Understanding - Classification Document Understanding - Digitization

NEW QUESTION # 25
What is the primary function of the Wait for Classification Validation Task and Resume activity In UiPath's Document Understanding Framework?

A. It suspends the workflow until a specified document validation action is completed, ensuring human review and correction.
B. It automatically validates classified data without human intervention, expediting document processing by removing the need for manual review and correction.
C. It initiates the classification process for documents across different platforms, ensuring consistent and accurate document organization and categorization.
D. It prioritizes actions in Action Center based on document classification results, optimizing task management and allocation according to the importance of document classifications.

Answer: A

Explanation:
The "Wait for Classification Validation Task and Resume" activity in UiPath's Document Understanding Framework is primarily used to halt or suspend the workflow until a specified document classification validation task is completed by a human. This activity is part of the broader workflow to ensure that when automatic classification of documents cannot be confidently achieved, a human-in-the-loop (HITL) approach is followed to validate or correct classifications. Once the validation is performed in UiPath's Action Center by a human, the workflow is resumed, ensuring the proper handling of documents that require review and correction.
This is aligned with the design of the Action Center, which is integrated into UiPath's Document Understanding Framework. When dealing with document classification or extraction confidence issues, manual human validation tasks are often required, which is what this activity manages. It facilitates human oversight, preventing the automation from proceeding with potentially incorrect classifications.
Reference from UiPath documentation:
UiPath Action Center explains how humans are involved in validation tasks to handle cases where classification or extraction needs manual review.
Wait for Task and Resume Activity in UiPath Documentation explains how it waits for a task (such as document validation) to be completed in the Action Center before resuming the workflow.
For more details, you can consult the official UiPath documents:
UiPath Document Understanding Framework
Wait for Classification Validation Task and Resume
This functionality ensures that incorrect data processing due to automation can be caught and rectified by a human, improving accuracy in document handling workflows.

NEW QUESTION # 26
A developer needs to create a process for the Human Resources team. During the development, they try to run the workflow containing the following dictionary variable:

What is the possible cause of the error?

A. The Dictionary was not initialized.
B. The assign's set value syntax should be PinMapping<"John Doe">.
C. The assign's set value syntax should be PinMapping["John Doe"].
D. The "John Doe" key was not present in the dictionary.

Answer: A

Explanation:
The most likely cause of the error is that the dictionary was not initialized. In UiPath, a dictionary must be initialized before assigning values to its keys. If you attempt to add a key-value pair to a dictionary that has not been initialized, you will encounter a runtime error.
The correct initialization can be done as follows:
PinMapping = New Dictionary(Of String, String)
Explanation of Other Options:
A: PinMapping["John Doe"]: This is the correct syntax for accessing or assigning a value to a dictionary key.
There is no issue with this syntax.
B: The "John Doe" key not present: While it is true that the key might not exist, this specific error would occur only during a Get operation, not an assignment.
D: PinMapping<"John Doe">: This is incorrect syntax for working with dictionaries in UiPath.
Reference:UiPath Variables and Data Types - Dictionaries

NEW QUESTION # 27
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 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.
C. 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.
D. 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.

Answer: B

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 aDocument 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 # 28
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