UiPath-SAIv1완벽한덤프문제자료 - UiPath-SAIv1인증시험대비공부문제

아직도UiPath UiPath-SAIv1 인증시험을 어떻게 패스할지 고민하시고 계십니까? Itcertkr는 여러분이UiPath UiPath-SAIv1덤프자료로UiPath UiPath-SAIv1 인증시험에 응시하여 안전하게 자격증을 취득할 수 있도록 도와드립니다. UiPath UiPath-SAIv1 시험가이드를 사용해보지 않으실래요? Itcertkr는 여러분께UiPath UiPath-SAIv1시험패스의 편리를 드릴 수 있다고 굳게 믿고 있습니다.

Itcertkr의 UiPath UiPath-SAIv1덤프를 공부하면 100% UiPath UiPath-SAIv1 시험패스를 보장해드립니다. 만약 UiPath UiPath-SAIv1 덤프자료를 구매하여 공부한후 시험에 탈락할시 불합격성적표와 주문번호를 메일로 보내오시면 덤프비용을 바로 환불해드립니다. 저희 Itcertkr UiPath UiPath-SAIv1덤프로 자격증부자되세요.

>> UiPath-SAIv1완벽한 덤프문제자료 <<

UiPath-SAIv1완벽한 덤프문제자료 최신 시험공부는 적중율 높은 덤프로 !

Itcertkr는 여러분을 성공으로 가는 길에 도움을 드리는 사이트입니다. Itcertkr에서는 여러분이 안전하게 간단하게UiPath인증UiPath-SAIv1시험을 패스할 수 있는 자료들을 제공함으로 빠른 시일 내에 IT관련지식을 터득하고 한번에 시험을 패스하실 수 있습니다.

최신 UiPath Certified Professional UiPath-SAIv1 무료샘플문제 (Q151-Q156):

질문 # 151
What should a UiPath Communications Mining taxonomy contain when it is being imported?

A. Label predictions.
B. Label descriptions.
C. Entity descriptions.
D. Entity predictions.

정답：B

설명：
According to the UiPath documentation, a UiPath Communications Mining taxonomy is a collection of all the labels applied to the verbatims in a dataset, structured in a hierarchical manner. Labels are the concepts and intents that you want to capture in the dataset to suit your specific objectives. When you import your taxonomy from a spreadsheet, you need to provide the label descriptions, which are the names of the labels and their level in the hierarchy. Label predictions and entity predictions are the outputs of the model training process, and they are not part of the taxonomy. Entity descriptions are the definitions of the entities that you want to extract from the verbatims, and they are not part of the taxonomy either.
References:
* Communications Mining - Taxonomies
* Communications Mining - Importing your taxonomy
* Communications Mining - Building your taxonomy structure

질문 # 152
What is the purpose of the End Process in the Document Understanding Process?

A. End Process in the Document Understanding Process silently shuts down the Virtual Machine so that another robot can use it.
B. End Process is a feature in the Document Understanding Process that exports the extracted data into a readable document format.
C. The purpose of the End Process in the Document Understanding Process is to generate a summary report of the processing statistics and performance metrics.
D. End Process sets the queue transaction status as Successful in case of no exception, and as Failed in case of an exception with their corresponding Business or System Exception, and the post processing
/cleaning if required.

정답：D

설명：
The End Process is the final stage of the Document Understanding Process, which is a fully functional UiPath Studio project template based on a document processing flowchart. The End Process is responsible for setting the queue transaction status, logging the results, and performing any post processing or cleaning actions if needed. The End Process sets the queue transaction status as Successful if the document was processed without any exception, and as Failed if an exception occurred, either a Business Exception (such as invalid data) or a System Exception (such as network failure). The End Process also adds the extracted data and the validation status as output arguments to the queue transaction. The End Process also logs the processing statistics, such as the number of documents processed, the number of exceptions, the average processing time, and the accuracy rate. The End Process also performs any post processing or cleaning actions, such as deleting temporary files, closing applications, or sending notifications1.
References: 1: Document Understanding Process: Studio Template

질문 # 153
Which of the following extractors can be used for Data Extraction Scope activity?

A. Form Extractor Incremental Extractor Machine Learning Extractor and Intelligent Form Extractor
B. Regex Based Extractor. Form Extractor. Intelligent Form Extractor, and Machine Learning Extractor.
C. Full Extractor. Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
D. Intelligent Form Extractor, Machine Learning Extractor. Logic Extractor, and Regex Based Extractor.

정답：B

설명：
The Data Extraction Scope activity provides a scope for extractor activities, enabling you to configure them according to the document types defined in your taxonomy. The output of the activity is stored in an ExtractionResult variable, containing all automatically extracted data, and can be used as input for the Export Extraction Results activity. This activity also features a Configure Extractors wizard, which lets you specify exactly what fields from the document types defined in the taxonomy you want to extract1.
The extractors that can be used for Data Extraction Scope activity are:
* Regex Based Extractor: This extractor enables you to use regular expressions to extract data from text documents. You can define your own expressions or use the predefined ones from the Regex Based Extractor Configuration wizard2.
* Form Extractor: This extractor enables you to extract data from semi-structured documents, such as invoices, receipts, or purchase orders, based on the position and relative distance of the fields. You can define the templates for each document type using the Form Extractor Configuration wizard3.
* Intelligent Form Extractor: This extractor enables you to extract data from semi-structured documents, such as invoices, receipts, or purchase orders, based on the labels and values of the fields. You can define the fields for each document type using the Intelligent Form Extractor Configuration wizard.
* Machine Learning Extractor: This extractor enables you to extract data from any type of document, using a machine learning model that is trained on your data. You can use the predefined models from UiPath or your own custom models hosted on AI Center or other platforms. You can configure the fields and the model for each document type using the Machine Learning Extractor Configuration wizard.
References: 1: Data Extraction Scope 2: Regex Based Extractor 3: Form Extractor : Intelligent Form Extractor: Machine Learning Extractor

질문 # 154
How do you use the Generative Classifier within UiPath Document Understanding Cloud APIs to classify a document as either an "Invoice" or a "Receipt"?

A. By sending a PUT request to /api/framework/proiects/{projectld}/classifiers/generative_classifier
/classification without any specific classification details in the body of the request.
B. By sending a POST request to /api/framework/projects/{projectld}/classifiers/generative_classifier
/dassification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and a description for their fields.
C. By sending a POST request to yapi/framework/projectsy{projectld}/ctassifiers/generative_classifier
/classification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and descriptions.
D. By sending a GET request to /api/framework/projects/{projectld}/classifiers/generative_classifier
/classification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and descriptions.

정답：C

설명：
In UiPath Document Understanding Cloud APIs, the Generative Classifier is used to classify documents by leveraging a generative AI model. To classify a document as either an "Invoice" or a "Receipt," a POST request must be sent to the /api/framework/projects/{projectId}/classifiers/generative_classifier/classification endpoint. The body of this request should contain prompts specifying the classification types (in this case,
"Invoice" and "Receipt") along with their corresponding descriptions. This allows the model to correctly classify incoming documents based on these predefined prompts.
For further reading, refer to:
* UiPath Document Understanding API Documentation: Cloud API for Classification
* Generative Classifier APIs: UiPath Classification APIs

질문 # 155
What is the purpose of the End Process in the Document Understanding Process?

A. End Process in the Document Understanding Process silently shuts down the Virtual Machine so that another robot can use it.
B. End Process is a feature in the Document Understanding Process that exports the extracted data into a readable document format.
C. The purpose of the End Process in the Document Understanding Process is to generate a summary report of the processing statistics and performance metrics.
D. End Process sets the queue transaction status as Successful in case of no exception, and as Failed in case of an exception with their corresponding Business or System Exception, and the post processing/cleaning if required.

정답：D

질문 # 156
......

Itcertkr덤프공부가이드는 업계에서 높은 인지도를 자랑하고 있습니다. Itcertkr제품은 업데이트가 가장 빠르고 적중율이 가장 높아 업계의 다른 IT공부자료 사이트보다 출중합니다. Itcertkr의UiPath인증 UiPath-SAIv1덤프는 이해하기 쉽고 모든UiPath인증 UiPath-SAIv1시험유형이 모두 포함되어 있어 덤프만 잘 이해하고 공부하시면 시험패스는 문제없습니다.

UiPath-SAIv1인증시험대비 공부문제: https://www.itcertkr.com/UiPath-SAIv1_exam.html

여러분이 다른 사이트에서도UiPath인증UiPath-SAIv1시험 관련덤프자료를 보셨을 것입니다 하지만 우리Itcertkr의 자료만의 최고의 전문가들이 만들어낸 제일 전면적이고 또 최신 업데이트일 것입니다.UiPath인증UiPath-SAIv1시험을 응시하고 싶으시다면 Itcertkr자료만의 최고의 선택입니다, UiPath-SAIv1덤프는 문항수도 적고 시험예상문제만 톡톡 집어 정리된 자료라 UiPath-SAIv1시험합격이 한결 쉬워집니다, 전문적으로UiPath인증UiPath-SAIv1시험을 응시하는 분들을 위하여 만들었습니다, UiPath UiPath-SAIv1덤프만 열공하시면 시험패스가 가능하기에 저희 자료를 선택 한걸 후회하지 않게 할 자신이 있습니다.

여긴 줄 알았으면 안 왔을 텐데, 위기감을 느낀 유봄이 다급하게 외쳤다.그래, 키스만, 여러분이 다른 사이트에서도UiPath인증UiPath-SAIv1시험 관련덤프자료를 보셨을 것입니다 하지만 우리Itcertkr의 자료만의 최고의 전문가들이 만들어낸 제일 전면적이고 또 최신 업데이트일 것입니다.UiPath인증UiPath-SAIv1시험을 응시하고 싶으시다면 Itcertkr자료만의 최고의 선택입니다.

David Adams David Adams

Biography

UiPath-SAIv1완벽한덤프문제자료 - UiPath-SAIv1인증시험대비공부문제

UiPath-SAIv1완벽한 덤프문제자료 최신 시험공부는 적중율 높은 덤프로 !

최신 UiPath Certified Professional UiPath-SAIv1 무료샘플문제 (Q151-Q156):

최신버전 UiPath-SAIv1완벽한 덤프문제자료 완벽한 시험자료

Quick Links

Resourses

Support