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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q26-Q31):

NEW QUESTION # 26
Which of the following is a main feature of the Manage Packages feature in UiPath Studio?

A. Managing package dependencies exclusively for attended automation projects.
B. Installing, uninstalling, and updating activity packages in a project.
C. Disabling previously installed packages without uninstalling them.
D. Automatically updating all packages in a project to their latest versions.

Answer: B

Explanation:
Reference: UiPath Manage Packages

NEW QUESTION # 27
How has UiPath improved the experience for handling failed queue transactions in the 2023.10 release?

A. Implementing a sophisticated automatic retry mechanism to handle failed transactions without manual intervention.
B. Recording and storing failed queue transactions for debugging purposes.
C. Introducing real-time error alerts to notify users immediately when a queue transaction fails.
D. Enhancing the logging capabilities to provide more detailed insights into each transaction.

Answer: B

Explanation:
In the UiPath 2023.10 release, a key improvement introduced was the ability to record and store failed queue transactions for debugging purposes. This feature helps users by capturing the failure details and making them accessible directly in Orchestrator. The recording of failed transactions is enabled at the process level, within the Video section of the Job recording settings. It is intended tofacilitate easier troubleshooting of failed automations by providing insights into the moments leading to the failure, which can be reviewed later for debugging

NEW QUESTION # 28
Which role consumes ML Skills within customized workflows in Studio using the ML Skill activity from the UiPath.MLServices.Activities package?

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

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 # 29
How do the prediction mechanisms for labels and general fields differ in the UiPath Communications Mining platform?

A. Label predictions are made based on the text of the message as well as some metadata properties, while general fields are learnt from the assigned span of text and the context of the text surrounding that span.
B. Labels predictions are based on assigned span of text and entities are predicted solely from metadata properties.
C. Label predictions rely solely on metadata properties, general fields are learnt from the presence of certain key phrases in the text.
D. Labels and general fields are both predicted based on the text of the message, with no consideration given to metadata properties or contextual surrounding text.

Answer: A

Explanation:
Reference: UiPath Communications Mining

NEW QUESTION # 30
What components are part of the Document Understanding Process template?

A. Import. Classification. Text Extractor, and Data Validation.
B. Load Taxonomy, Digitization. Classification, Data Extraction, and Data Validation Export.
C. Load Taxonomy, Digitization. Categorization. Data Validation, and Export.
D. Load Document. Categorization. Data Extraction, and Validation.

Answer: B

Explanation:
The Document Understanding Process template 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 template has an architecture decoupled from other connected automations and supports both attended and unattended processes with human-in-the-loop validation via Action Center. The template consists of the following components1:
Load Taxonomy: This component loads the taxonomy file that defines the document types and fields to be extracted. The taxonomy file can be created using the Taxonomy Manager in Studio or the Data Manager web application.
Digitization: This component converts the input document into a digital format that can be processed by the subsequent components. It uses the Digitize Document activity to perform OCR (optical character recognition) on the document and obtain a Document Object Model (DOM).
Classification: This component determines the document type of the input document using theClassify Document Scope activity. It can use either a Keyword Based Classifier or a Machine Learning Classifier, depending on the configuration. The classification result is stored in a ClassificationResult variable.
Data Extraction: This component extracts the relevant data from the input document using the Data Extraction Scope activity. It can use different extractors for different document types, such as the Form Extractor, the Machine Learning Extractor, the Regex Based Extractor, or the Intelligent Form Extractor. The extraction result is stored in an ExtractionResult variable.
Data Validation: This component allows human validation and correction of the extracted data using the Present Validation Station activity. It opens the Validation Station window where the user can review and edit the extracted data, as well as provide feedback for retraining the classifiers and extractors. The validated data is stored in a DocumentValidationResult variable.
Export: This component exports the validated data to a desired output, such as an Excel file, a database, or a downstream process. It uses the Export Extraction Results activity to convert the DocumentValidationResult variable into a DataTable variable, which can then be manipulated or written using other activities.
References: Document Understanding Process: Studio Template, Document Understanding Process - New Studio Template, Document Understanding Process Template in UiPath Studio

NEW QUESTION # 31
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Reliable UiPath-SAIAv1 Dumps Sheet - UiPath-SAIAv1 Cheap Dumps

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q26-Q31):

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