최신UiPath-SAIAv1시험대비최신덤프모음집인증덤프샘플문제다운로드

DumpTOP는 IT업계에서 유명한 IT인증자격증 공부자료를 제공해드리는 사이트입니다. 이는DumpTOP 의 IT전문가가 오랜 시간동안 IT인증시험을 연구한 끝에 시험대비자료로 딱 좋은 덤프를 제작한 결과입니다. UiPath인증 UiPath-SAIAv1덤프는 수많은 덤프중의 한과목입니다. 다른 덤프들과 같이UiPath인증 UiPath-SAIAv1덤프 적중율과 패스율은 100% 보장해드립니다. UiPath인증 UiPath-SAIAv1시험에 도전하려는 분들은DumpTOP 의UiPath인증 UiPath-SAIAv1덤프로 시험을 준비할것이죠?

우리DumpTOP에서는 끊임없는 업데이트로 항상 최신버전의UiPath인증UiPath-SAIAv1시험덤프를 제공하는 사이트입니다, 만약 덤프품질은 알아보고 싶다면 우리DumpTOP 에서 무료로 제공되는 덤프일부분의 문제와 답을 체험하시면 되겠습니다, DumpTOP 는 100%의 보장 도를 자랑하며UiPath-SAIAv1시험은 한번에 패스할 수 있는 덤프입니다.

>> UiPath-SAIAv1시험대비 최신 덤프모음집 <<

최신 UiPath Specialized AI Associate UiPath-SAIAv1 무료샘플문제 (Q157-Q162):

질문 # 157
Which is a high-level view of the tabs within an AI Center project?

A. Dashboard. Datasets, Data Labeling. ML Packages. Pipelines, ML Skills, and ML Logs.
B. Dashboard. Datasets. ML Packages. ML Training. ML Evaluation, and ML Logs.
C. Datasets. Data Labeling. ML Packages. Pipelines, and ML Skills.
D. Datasets, Data Labeling. ML Packages, ML Training, ML Evaluation, ML Skills, and ML Logs.

정답：A

설명：
A high-level view of the tabs within an AI Center project is as follows:
Dashboard: This tab provides an overview of the project's status, such as the number of datasets, pipelines, packages, skills, and logs, as well as the AI Units consumption and quota.
Datasets: This tab enables you to upload, view, and manage the datasets that are used for training and evaluating the ML models within the project. A dataset is a folder of storage containing arbitrary files and sub- folders1.
Data Labeling: This tab enables you to upload raw data, annotate text data in the labeling tool (for classification or entity recognition), and use the labeled data to train ML models. It is also used by the human reviewer to re-label incorrect predictions as part of the feedback process2.
ML Packages: This tab enables you to upload, view, and manage the ML packages and package versions within the project. An ML package is a group of package versions of the same package type, and a package version is a trained model that can be deployed to a skill3.
Pipelines: This tab enables you to create, view, and manage the pipelines and pipeline runs within the project. A pipeline is a description of an ML workflow, including the functions and their order of execution, and a pipeline run is an execution of a pipeline based on code provided by the user4.
ML Skills: This tab enables you to deploy, view, and manage the ML skills within the project. An ML skill is a live deployment of a package version, which can be consumed by an RPA workflow using an ML skill activity in UiPath Studio5.
ML Logs: This tab enables you to view and filter the logs related to the project, such as the events, messages, and errors that occurred during the pipeline runs, skill deployments, and skill executions6.
References:
1: About Datasets 2: About Data Labeling 3: About ML Packages 4: About Pipelines 5: About ML Skills 6: About ML Logs

질문 # 158
What are the UiPath Action Center action statuses?

A. Unassigned, Pending, Completed
B. Unassigned, Pending, Edited, Completed
C. Unassigned, Assigned, Completed
D. Unassigned, Assigned, Modified, Completed

정답：A

설명：
The valid Action Center statuses are:
Unassigned: The action is not assigned to any user.
Pending: The action is assigned and awaiting user response.
Reference: UiPath Action Center

질문 # 159
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 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.
B. 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.
C. 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.
D. 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.

정답：B

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 # 160
When a parent label is deleted in UiPath Communications Mining, what happens to the training data tor that label?

A. The parent label and any child labels to that parent label are removed from any reviewed messages, any messages with updated annotations are flagged for review.
B. The parent label is removed from any reviewed messages but the child labels to that parent label remain.
C. The parent label and any child labels to that parent label are removed from any reviewed messages.
D. The parent label is removed from any reviewed messages, messages with any child labels to that parent label are flagged for review.

정답：A

설명：
In UiPath Communications Mining, when a parent label is deleted, both the parent and its child labels are removed from the reviewed messages. Additionally, any messages with updated annotations that were associated with those labels are flagged for review to ensure consistency in the training data

질문 # 161
What is the function of the Immediate Panel in UiPath Studio during the debugging process?

A. Inspecting data at a certain point during debugging by evaluating variables, arguments, or statements.
B. Modifying the values of variables and arguments at runtime during the debugging process.
C. Displaying the performance analysis of all the operations, showing the execution time of each activity.
D. Displaying the next activity to be executed and its parent containers when the project is paused in debugging.

정답：A

설명：
Reference: UiPath Debugging Tools

질문 # 162
......

UiPath UiPath-SAIAv1덤프구매에 관심이 있는데 선뜻 구매결정을 하지 못하는 분이라면 사이트에 있는 demo를 다운받아 보시면UiPath UiPath-SAIAv1시험패스에 믿음이 생길것입니다. UiPath UiPath-SAIAv1덤프는 시험문제변경에 따라 업데이트하여 항상 가장 최선버전이도록 유지하기 위해 최선을 다하고 있습니다.

UiPath-SAIAv1유효한 공부문제: https://www.dumptop.com/UiPath/UiPath-SAIAv1-dump.html

기존의 UiPath UiPath-SAIAv1시험문제를 분석하여 만들어낸 UiPath UiPath-SAIAv1덤프의 문제와 답은 실제시험의 문제와 답과 아주 비슷합니다, UiPath UiPath-SAIAv1 시험의 모든 문제를 커버하고 있는 고품질UiPath UiPath-SAIAv1덤프를 믿고 자격증 취득에 고고싱~, 일반적으로UiPath UiPath-SAIAv1유효한 공부문제인증시험은 IT업계전문가들이 끊임없는 노력과 지금까지의 경험으로 연구하여 만들어낸 제일 정확한 시험문제와 답들이니, DumpTOP 의 학습가이드에는UiPath UiPath-SAIAv1인증시험의 예상문제, 시험문제와 답입니다, 저희 사이트에는UiPath UiPath-SAIAv1 시험의 가장 최신 기출문제와 예상문제를 포함하고 있는 UiPath UiPath-SAIAv1덤프자료를 제공해드립니다.덤프에 있는 문제와 답을 완벽하게 기억하시면 가장 빠른 시일내에 가장 적은 투자로 자격증 취득이 가능합니다.

영량의 포옹은 기묘했기 때문이다, 그건 누구라도 어렵지 않게 예측할 수 있는 바였다, 기존의 UiPath UiPath-SAIAv1시험문제를 분석하여 만들어낸 UiPath UiPath-SAIAv1덤프의 문제와 답은 실제시험의 문제와 답과 아주 비슷합니다.

Owen White Owen White

Biography

최신UiPath-SAIAv1시험대비최신덤프모음집인증덤프샘플문제다운로드

최신버전 UiPath-SAIAv1시험대비 최신 덤프모음집 덤프는 UiPath Specialized AI Associate Exam (2023.10) 시험패스의 유효 공부자료

최신 UiPath Specialized AI Associate UiPath-SAIAv1 무료샘플문제 (Q157-Q162):

최신버전 UiPath-SAIAv1시험대비 최신 덤프모음집 퍼펙트한 덤프의 문제를 마스터하면 시험합격 가능