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NEW QUESTION # 42
What is the Machine Learning Extractor?
Answer: D
Explanation:
The Machine Learning Extractor utilizes machine learning models to effectively extract data from documents, especially when dealing with varying structures or formats within the same document type. This capability is crucial in scenarios where documents do not follow a strict template and have variations in their layout or content organization. The extractor can be trained to understand these variations and accurately extract the needed information.
The Machine Learning Extractor is a data extraction tool that uses machine learning models to extract data from various types of documents, such as invoices, receipts, or forms. It is especially useful when the same document type has multiple layouts or formats, as it can learn and infer the values for the targeted fields, even from documents and layouts it has never seen before1.
The Machine Learning Extractor can be used with one of UiPath's public Document Understanding endpoints, which provide generic models for certain document types, or with custom trained machine learning models hosted in AI Center, which can be tailored to specific use cases. The Machine Learning Extractor can be configured and trained using the Data Extraction Scope activity in UiPath Studio2.
References:
Document Understanding - Machine Learning Extractor
UiPath Activities - Data Extraction Scope
NEW QUESTION # 43
What is a function of unattended robots?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Unattended robotsare designed to run in the background without human supervision. They can:
* Be triggered via Orchestrator (manually, on a schedule, or via a queue)
* Run on virtual machines or remote servers
* Handle end-to-end automation tasks autonomously
These robots are ideal forback-office processesand scalable enterprise deployments.
* UiPath Documentation Reference:Unattended Robots - UiPath Docs
NEW QUESTION # 44
What do entities represent in UiPath Communications Mining?
Answer: C
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 # 45
What will be the outcome when executing a Try Catch activity with a sequence placed within the Try section and no Catches section present?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
If a Try Catch activity has no defined Catch blocks and the Try section throws an exception, the exception is not caught and will propagate, potentially terminating the workflow.
However, if no exception occurs, the process continues normally.
The activity does not result in validation errors just because Catch blocks are empty.
UiPath Documentation Reference:
Try Catch Activity - UiPath Docs
NEW QUESTION # 46
In the case of accidentally starting a process from UiPath Assistant, where should the user manually terminate the execution?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
WithinUiPath Assistant, the"Jobs" tabdisplays all active or queued processes. From there, a user can select a running job andmanually stop or kill the execution. This is thesafest and recommended wayto halt unintended automations.
* Closing UiPath Assistant doesnot stopa running process-it only hides the interface.
* UiPath Documentation Reference:UiPath Assistant Guide - Managing Jobs
NEW QUESTION # 47
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