FREE PDF 2025 UIPATH UIPATH-SAIV1: PROFESSIONAL SIMULATION UIPATH CERTIFIED PROFESSIONAL SPECIALIZED AI PROFESSIONAL V1.0 QUESTIONS

Free PDF 2025 UiPath UiPath-SAIv1: Professional Simulation UiPath Certified Professional Specialized AI Professional v1.0 Questions

Free PDF 2025 UiPath UiPath-SAIv1: Professional Simulation UiPath Certified Professional Specialized AI Professional v1.0 Questions

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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q147-Q152):

NEW QUESTION # 147
Which type of documents can be processed using UiPath Document Understanding?

  • A. Word documents and presentations.
  • B. PDFs and images.
  • C. Spreadsheets and databases.
  • D. Images and videos.

Answer: B


NEW QUESTION # 148
When should a UiPath Communications Mining taxonomy be imported?

  • A. When new labels must be added to the taxonomy.
  • B. Before starting the model training.
  • C. After pruning and reorganizing a taxonomy.
  • D. As part of the "Increase coverage" phase.

Answer: B

Explanation:
In UiPath Communications Mining, importing a taxonomy should be done before starting model training. The taxonomy, which includes labels and categories, defines how the data will be classified and structured during the training process. It is essential to have a well-defined taxonomy to ensure accurate predictions and classifications. Importing the taxonomy before training allows the model to learn from it, enhancing its performance. Changes to the taxonomy can be made later, but the initial import is crucial at the start of the training phase to guide the model effectively.
(Source: UiPath Docs on Communications Mining)


NEW QUESTION # 149
What does adding missed labels help improve in UiPath Communications Mining?

  • A. Increases data security.
  • B. Label precision and recall.
  • C. Label bias warnings.
  • D. Increases the taxonomy coverage.

Answer: B

Explanation:
Adding missed labels helps improve the label precision and recall in UiPath Communications Mining.
Precision is the percentage of correctly labeled verbatims out of all the verbatims that have the label applied, while recall is the percentage of correctly labeled verbatims out of all the verbatims that should have the label applied. By adding missed labels, you are increasing the recall of the label, as you are reducing the number of false negatives (verbatims that should have the label but do not). This also improves the precision of the label, as you are reducing the noise in the data and making the label more informative and consistent. Adding missed labels is one of the recommended actions that the platform suggests to improve the model rating and performance of the labels.
References: Communications Mining - Training using 'Check label' and 'Missed label', Communications Mining - Model Rating


NEW QUESTION # 150
What is the default visibility of an ML skill?

  • A. An ML skill is by default public and can't be made private.
  • B. An ML skill is by default private and can be made public.
  • C. An ML skill is by default public and can be made private.
  • D. An ML skill is by default private and can't be made public.

Answer: B

Explanation:
An ML skill is a consumer-ready, live deployment of an ML or OS package that can be used in RPA workflows. By default, an ML skill is private, which means it can only be accessed by the users who have the permission to view and manage the project that contains the skill. However, an ML skill can be made public by enabling the Public Skill option in the ML Skill Details page. This will generate a public URL and an API key for the skill, which can be used to access the skill from any external system or application12.
References: 1: AI Center - About ML Skills 2: Make ML Skills and Datasets public via URL + API Key - Preview


NEW QUESTION # 151
What is the purpose of the End Process in the Document Understanding Process?

  • A. The purpose of the End Process in the Document Understanding Process is to generate a summary report of the processing statistics and performance metrics.
  • B. End Process in the Document Understanding Process silently shuts down the Virtual Machine so that another robot can use it.
  • C. End Process is a feature in the Document Understanding Process that exports the extracted data into a readable document format.
  • 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.

Answer: D

Explanation:
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


NEW QUESTION # 152
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