Quiz 2025 UiPath-SAIAv1: UiPath Specialized AI Associate Exam (2023.10)–Professional Exam Tips

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q46-Q51):

NEW QUESTION # 46
Why is it important to gather and analyze data about the languages in scope?

A. Different Document Understanding components have support for different languages, so they have to be selected according to the requirements.
B. This is a standard check but has no actual effect on the Document Understanding process.
C. If an ML (Machine Learning) extractor is used, the model schema fields should be renamed according to the most frequently used language from the documents to be processed
D. The main reason is that all taxonomy fields should have their names translated into all the languages presented in the documents to be processed.

Answer: A

Explanation:
It is essential to analyze the languages involved in a project because different components of UiPath's Document Understanding framework have varying language support. For instance, some OCR engines and classifiers support specific languages, and this determines whether a particular language can be processed accurately. As the supported languages differ across components such as the Machine Learning Extractor, Form Extractor, and various OCR services, selecting the right components is crucial to meeting project requirements

NEW QUESTION # 47
Which role consumes ML Skills within customized workflows in Studio using the ML Skill activity from the UiPath.MLServices.Activities package?

A. Data Scientist.
B. RPA Developer.D Process Controller
C. Administrator.

Answer: B

Explanation:
According to the UiPath documentation portal1, the RPA Developer is the role that consumes ML Skills within customized workflows in Studio using the ML Skill activity from the UiPath.MLServices.Activities package. The RPA Developer is responsible for designing, developing, testing, and deploying automation workflows using UiPath Studio and other UiPath products. The RPA Developer can use the ML Skill activity to retrieve and call all ML Skills available on the AI Center service and request them within the automation workflows. The ML Skill activity allows the RPA Developer to pass data to the input of the skill, test the skill, and receive the output of the skill as JSON response, status code, and headers2. Therefore, option C is the correct answer, as it describes the role and the activity that are related to consuming ML Skills in Studio. Option A is incorrect, as the Data Scientist is the role that creates and trains ML models using AI Center or other tools, and publishes them as ML Packages or OS Packages1. Option B is incorrect, as the Administrator is the role that manages the AI Center service, such as configuring the infrastructure, setting up the permissions, and monitoring the usage and performance1. Option D is incorrect, as the Process Controller is the role that deploys ML Packages or OS Packages as ML Skills, and manages the versions, the endpoints, and the API keys of the skills1.
References: 1 AI Center - User Personas 2 Activities - ML Skill

NEW QUESTION # 48
What is the role of the Taxonomy Manager?

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

Answer: D

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 # 49
How can a Pipeline be scheduled?

A. A Pipeline can be scheduled at a single future date.
B. A Pipeline can be scheduled at a single future date or with a recurring schedule.
C. A Pipeline can be scheduled at multiple future dates or with a recurring schedule.
D. A Pipeline can be scheduled with a recurring schedule.

Answer: B

Explanation:
In UiPath's AI Center, a Pipeline can be scheduled for execution either at a specific future date or with a recurring schedule. This allows for flexibility in automating the retraining or execution of machine learning models based on predefined time intervals or specific dates. For example, you can schedule a pipeline to run once on a given date or set it to run daily, weekly, or monthly, depending on the project's needs.
For more information, refer to:
UiPath AI Center Documentation: Pipeline Scheduling
Automation Pipelines in AI Center: Pipeline Execution and Scheduling

NEW QUESTION # 50
What is the role of the dispatcher in the Document Understanding Process?

A. To ensure one job is created for each input file.
B. To handle logging and exception mechanisms.
C. To process multiple files simultaneously in bulk.
D. To manage downstream processes where the extracted Information is used

Answer: A

Explanation:
In the Document Understanding framework, the dispatcher is responsible for ensuring that one job is created for each input file. It works by submitting files to be processed individually, ensuring that each document or group of documents is handled as a separate transaction. This allows for more efficient processing and better tracking of each file, especially in high-volume workflows where managing each file as a separate job is critical for performance and error handling.
(Source: UiPath Documentation on Document Understanding)

NEW QUESTION # 51
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Quiz 2025 UiPath-SAIAv1: UiPath Specialized AI Associate Exam (2023.10)–Professional Exam Tips

UiPath-SAIAv1 Exam Materials & Latest UiPath-SAIAv1 Exam Objectives

UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q46-Q51):

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