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UiPath UiPath-SAIv1 Exam Dumps

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Question # 1



What is the Machine Learning Extractor?
A. A specialized model that can recognize multiple languages in the same document using API calls to a Hugging Face model with over 250 languages.
B. An extraction model that can be enabled and trained in Al Center. For better accuracy. 25 documents per model are recommended to train the model.
C. A tool using machine learning models to identify and report on data targeted for data extraction.
D. A tool that helps extract data from different document structures, and is particularly useful when the same document has multiple formats.



D.
  A tool that helps extract data from different document structures, and is particularly useful when the same document has multiple formats.





Question # 2



Which of the following are unstructured documents?
A. Invoices, receipts, purchase orders, and medical bills.
B. Banking forms, tax forms, surveys, and identity cards.
C. Contracts, emails, banking forms, and tax forms.
D. Contracts, agreements, and emails.



D.
  Contracts, agreements, and emails.

Explanation: Unstructured documents are those that do not have a predefined format or layout, and therefore cannot be easily processed by traditional methods. They often contain free-form text, images, tables, and other elements that vary from document to document. Examples of unstructured documents include contracts, agreements, emails, letters, reports, articles, and so on. UiPath Document Understanding is a solution that enables the processing of unstructured documents using AI-powered models and RPA workflows1. The other options are not correct because they are examples of structured or semistructured documents. Structured documents are those that have a fixed format or layout, and can be easily processed by rules-based methods. They often contain fields, labels, and values that are consistent across documents. Examples of structured documents include banking forms, tax forms, surveys, identity cards, and so on. Semi-structured documents are those that have some elements of structure, but also contain variations or unstructured content. They often require a combination of rules-based and AI-powered methods to process. Examples of semi-structured documents include invoices, receipts, purchase orders, medical bills, and so on2.




Question # 3



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.



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.




Question # 4



Which environment variable is relevant for Evaluation pipelines?
A. eval.enable_ocr
B. eval.redo_ocr
C. eval.enable_qpu
D. eval.use_cuda



B.
  eval.redo_ocr

Explanation: The environment variable eval.redo_ocr is relevant for Evaluation pipelines because it allows you to rerun OCR when running the pipeline to assess the impact of OCR on extraction accuracy. This assumes an OCR engine was configured when the ML Package was created. The other options are not valid environment variables for Evaluation pipelines.




Question # 5



What is the name of the web application that allows users to prepare, review, and make corrections to datasets required for Machine Learning models?
A. Document Manager.
B. Digitization.
C. Data Manager.
D. ML Extractor.



C.
  Data Manager.

Explanation: Data Manager is a web application that allows users to prepare, review, and make corrections to datasets required for Machine Learning models. Data Manager enables users to create and manage datasets, label data, validate and export data, and monitor data quality and progress. Data Manager supports various types of data, such as documents, images, text, and tables. Data Manager is integrated with AI Center, where users can train and deploy Machine Learning models using the datasets created or modified in Data Manager12.




Question # 6



What is the correct execution order of the Document Understanding template stages?
Instructions: Drag the stages found on the "Left" and drop them on the "Right” in the correct order.





Question # 7



How can the code be tested in a development or testing environment in the context of the Document Understanding Process?
A. Use them as a template to create other tests.
B. Simply run the existing tests
C. Based on the use case developed, create test data to test existing and new tests.
D. Based on the use case developed, create test data to test existing tests.



C.
  Based on the use case developed, create test data to test existing and new tests.

Explanation: According to the UiPath Document Understanding Process template, the best way to test the code in a development or testing environment is to create test data based on the use case developed, and use it to test both the existing and the new tests. The test data should include different document types, formats, and scenarios that reflect the real-world data that the process will handle in production. The existing tests are provided by the template and cover the main functionalities and components of the Document Understanding Process, such as digitization, classification, data extraction, validation, and export. The new tests are created by the developer to test the customizations and integrations that are specific to the use case, such as custom extractors, classifiers, or data consumption methods. The test data and the test cases should be updated and maintained throughout the development lifecycle to ensure the quality and reliability of the code.




Question # 8



What is one of the purposes of the Config file in the UiPath Document Understanding Template?
A. It contains the configuration settings for the UiPath Robot and Orchestrator integration.
B. It stores the API keys and authentication credentials for accessing external services.
C. It specifies the output file path and format for the processed documents.
D. It defines the input document types and formats supported by the template.



B.
  It stores the API keys and authentication credentials for accessing external services.

Explanation: The Config file in the UiPath Document Understanding Template is a JSON file that contains various parameters and values that control the behavior and functionality of the template. One of the purposes of the Config file is to store the API keys and authentication credentials for accessing external services, such as the Document Understanding API, the Computer Vision API, the Form Recognizer API, and the Text Analysis API. These services are used by the template to perform document classification, data extraction, and data validation tasks. The Config file also allows the user to customize the template according to their needs, such as enabling or disabling human-in-the-loop validation, setting the retry mechanism, defining the custom success logic, and specifying the taxonomy of document types.




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UiPath Certified Professional Specialized AI Professional v1.0 Test Dumps


Exam Code: UiPath-SAIv1
Exam Name: UiPath Certified Professional Specialized AI Professional v1.0

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Questions People Ask About UiPath-SAIv1 Exam

The exam covers the following key areas:

  • 1. UiPath Document Understanding
  • 2. AI Center and Machine Learning models
  • 3. Integration of AI capabilities into automation workflows
  • 4. Data extraction and processing using AI
  • 5. Best practices for AI-driven automation

To prepare for the exam:

  • 1. Take the UiPath AI Developer Training.
  • 2. Practice integrating AI capabilities into automation workflows.
  • 3. Take practice test.
  • 4. Use UiPath Academy’s free learning resources.
  • 5. Review the official UiPath SAIv1 Exam Guide.

  • 1. Be proficient in using Document Understanding for data extraction.
  • 2. Learn how to integrate AI capabilities into automation workflows.
  • 3. Understand how to use AI Center for managing machine learning models.
  • 4. Familiarize yourself with best practices for AI-driven automation.
  • 5. Allocate time wisely during the exam to answer all questions.