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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q37-Q42):

NEW QUESTION # 37
When using UiPath Studio's publishing options, which location(s) can automation projects be published to?

A. Orchestrator, Locally, and SharePoint.
B. Orchestrator, Locally, and Git repository.
C. Custom NuGet feed, Cloud-based storage, and SharePoint.
D. Orchestrator, Locally, and Custom NuGet feed.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
When publishing a process from UiPath Studio, it can be directed to:
* Orchestrator(via Tenant or Personal Workspace feed)
* Locallyto a file path
* Custom NuGet Feed(configured in NuGet.config)
Git repositories and SharePoint arenot supported as direct publish targets.
* UiPath Documentation Reference:Publishing Projects - UiPath Studio

NEW QUESTION # 38
What are the three types of classifier trainers available in packages UiPath.lntelligentOCR.Activities and UiPath.DocumentUnderstanding.ML.Activities?

A. Keyword Based Classifier Trainer, Intelligent Keyword Classifier Trainer, and Machine Learning Classifier Trainer.
B. Intelligent Keyword Classifier Trainer, Language Based Classifier Trainer, and Image Based Classifier Trainer.
C. Machine Learning Classifier Trainer, Language Based Classifier, and Keyword Based Classifier Trainer.
D. Image Based Classifier Trainer, Format Based Classifier Trainer, and Machine Learning Classifier Trainer.

Answer: A

Explanation:
UiPath provides three types of classifier trainers to optimize document classification: Keyword Based Classifier Trainer, Intelligent Keyword Classifier Trainer, and Machine Learning Classifier Trainer. These trainers are used to teach the system how to categorize documents based on keywords, intelligent learning patterns, or machine learning techniques for more complex classifications.(Source: UiPath Classifier Trainer documentation

NEW QUESTION # 39
Which of the following statements best defines Dashboards in UiPath Communications Mining?

A. Dashboards are used for monitoring label and entity performance.
B. Dashboards are fully customizable pages containing relevant charts and visuals for a specific dataset.
C. Dashboards are pre-set visual displays for each dataset that can be modified only by admins.
D. Dashboards are a tool used for monitoring the performance of live communications channel integrations.

Answer: B

Explanation:
In UiPath Communications Mining, Dashboards are fully customizable pages that allow users to display relevant charts, visualizations, and insights for a specific dataset. These dashboards provide critical insights into the performance of models, labels, and other metrics relevant to the communication mining process.
Users can create and adjust these dashboards to reflect specific data points, making them a powerful tool for tracking and improving model performance over time.
For more details, refer to:
UiPath Communications Mining Dashboards: Customizing Dashboards
UiPath AI Center Documentation: Dashboards and Visualization

NEW QUESTION # 40
Which generic ML Package should be used when the document type you are using is not part of the out of the box models?

A. Document
B. DocumentUnderstanding
C. DocumentMLPackage
D. DocumentClassifier

Answer: B

Explanation:
The DocumentUnderstanding ML package is a generic, retrainable model designed to handle various document types that are not covered by out-of-the-box models. It allows for the extraction of data from structured and semi-structured documents by building a model from scratch through training. This package is highly flexible and can be tailored to fit different document formats, making it ideal when specific document types are not pre-configured in UiPath's out-of-the-box offerings.(Source: UiPath Documentation on ML Packages

NEW QUESTION # 41
What are the characteristics of the AI Center platform?

A. Enables the creation of ML packages and allows their consumption within RPA workflows.
B. Allows the deployment, management and improvement of ML models and their consumption within RPA workflows in Studio.
C. Allows human intervention for validating the classification results or the extraction results from different documents.
D. Permits the creation of ML models, their improvement and their consumption within RPA workflows in Studio.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
AI Center is designed to:
Deploy, manage, and monitor ML models
Create ML Skills that are used directly in Studio workflows
Integrate with Document Understanding for intelligent data extraction
Manage training and retraining pipelines
It is not primarily used for labeling or human validation (that's handled in DU components like the Validation Station).
UiPath Documentation Reference:
AI Center Overview

NEW QUESTION # 42
......

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