NEW UIPATH UIPATH-SAIV1 EXAM SIMULATOR & UIPATH-SAIV1 TEST GUIDE

New UiPath UiPath-SAIv1 Exam Simulator & UiPath-SAIv1 Test Guide

New UiPath UiPath-SAIv1 Exam Simulator & UiPath-SAIv1 Test Guide

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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q86-Q91):

NEW QUESTION # 86
What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?

  • A. View, save, and modify dataset model versions.
  • B. Train models using unsupervised learning.
  • C. Access detailed, queryable charts, statistics, and customizable dashboards.
  • D. Monitor model performance and receive recommendations.

Answer: C


NEW QUESTION # 87
Which scenario would be best accomplished using unattended automation?

  • A. Running reports and sending them via email to stakeholders overnight.
  • B. Resolving customer queries with real-time input from support agents.
  • C. Providing on-demand assistance to users for specific activities.
  • D. Generating invoices that require manual approval before issuing.

Answer: A

Explanation:
Unattended automation is ideal for tasks that can run independently without human intervention, such as scheduled activities during off-hours. Running reports and emailing stakeholders overnight is a perfect use case for unattended bots, which can execute the process autonomously.


NEW QUESTION # 88
What function in the train.py file is responsible for persisting the trained model?

  • A. save(self)
  • B. train(setf. trainmg_directory}
  • C. __init_(self)
  • D. evaluate(self, evaluation_directory)

Answer: A

Explanation:
In the context of a machine learning pipeline, specifically within the train.py file in UiPath AI models, the function responsible for persisting the trained model is typically named save(self). This function is invoked after the model has been trained, and it ensures that the model's state, weights, and configurations are saved to disk or another persistent storage medium. The saved model can then be reused for inference or further fine- tuning in future executions.
For more details, refer to:
* UiPath AI Center Documentation: Training Models
* Model Persistence: Saving Machine Learning Models in AI Center


NEW QUESTION # 89
Considering the Process Design phase, what should be Taken into consideration as a best practice when creating the scope for the automation?

  • A. Document Types. Technical Criteria, Templates. Languages, Scans/Digital docs, OCR quality.
  • B. Document Types. Taxonomy. Languages. Success Criteria. OCR, ML Model.
  • C. Document Types. Templates. Technical Criteria. Languages. Scans/Digital docs. Success Criteria. OCR engines.
  • D. Document Types. Taxonomy. Templates. Languages. Scans/Digital docs, Success Criteria. Technical Criteria.

Answer: D

Explanation:
When creating the scope for automation during the Process Design phase, several critical factors need to be taken into account to ensure a successful automation project. These include:
* Document Types: The types of documents that will be processed (invoices, receipts, etc.).
* Taxonomy: The classification and structuring of the data that will be extracted.
* Templates: The standardized formats for documents, which can improve extraction accuracy.
* Languages: The different languages in which documents are written, affecting the need for multilingual support.
* Scans/Digital Docs: Whether the documents are scanned or born-digital, impacting the accuracy of OCR.
* Success Criteria: Clear metrics that define the success of the automation (such as accuracy or processing time).
* Technical Criteria: Requirements related to the infrastructure, integration, and tools being used (OCR engines, ML models, etc.).
These elements are crucial in defining the technical and functional requirements for automating document processing tasks effectively, ensuring that the scope covers all necessary considerations.
For more details, refer to:
* UiPath Process Design Best Practices: Process Design Considerations
* UiPath Document Understanding Framework: Scope Definition in Document Understanding


NEW QUESTION # 90
What is the correct order of uploading a package exported from UiPath AI Center?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

Answer:

Explanation:

Explanation:

* Export the package from AI Center. This is the first step where you prepare the package to be moved.
* On the ML Packages page, click the Import ML Package button. This step is where you start the process of importing the package you've exported.
* On the Upload package field, add the zip file downloaded using the Downloading ML Packages procedure. After starting the import process, you will upload the actual package.
* Click Create. This is the final step where you finalize the uploading process of your ML package.
Please proceed with these steps in the UiPath AI Center to upload your exported package correctly.


NEW QUESTION # 91
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