DEMO UIPATH-SAIAV1 TEST - UIPATH-SAIAV1 LATEST STUDY QUESTIONS

Demo UiPath-SAIAv1 Test - UiPath-SAIAv1 Latest Study Questions

Demo UiPath-SAIAv1 Test - UiPath-SAIAv1 Latest Study Questions

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q166-Q171):

NEW QUESTION # 166
What are the main components of a digital business process?

  • A. Inputs, Process flows, Source applications, Outputs
  • B. Inputs, Process flows, Outputs
  • C. Inputs, Process flows, Assignees, Outputs
  • D. Inputs, Source applications, Assignees

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In the context of automation and digital workflows, adigital business processconsists of:
* Inputs: The raw data required
* Process flows: The sequence of tasks or actions
* Outputs: The final results generated
Assignees and source applications aresupporting components, but not universally required in every digital process.
* UiPath Academy Reference:Automation Hub Training # Defining Business ProcessesUiPath Process Mining - Fundamentals


NEW QUESTION # 167
What happens to your document and the process of pre-labeling when you choose the "Predict" option from the "Predict" dropdown in Document Manager?

  • A. It predicts fields using only the prelabeling endpoint model configured in the Prelabeling settings, and it does not use Generative Predict.
  • B. It predicts all fields using the Generative Predict capability only, ignoring any pre-labeling endpoint that may be configured. If Generative Predict is not available, it will not predict any fields.
  • C. It predicts fields using the Generative Prelabeling for OOTB document types and the pre-labeling endpoint for custom document types.
  • D. It merges the results of the Generative Predict functionality and the results of the prelabeling endpoint (if configured). If the latter is not configured, it uses solely Generative Predict for all fields.

Answer: D

Explanation:
Reference: UiPath Document Manager - Predict Feature


NEW QUESTION # 168
Which are the the minimum required inputs in order to configure the Validation Station as an attended activity?

  • A. Taxonomy, Document Object Model, Automatic Extraction Results. Document Directory.
  • B. Taxonomy, Document Path, Document Object Model, Document Type. Document Text.
  • C. Taxonomy, Document Path, Document Object Model, Document Text, Automatic Extraction Results.
  • D. Taxonomy, Document Path, Document Type, Document Text, Automatic Extraction Results.

Answer: C

Explanation:
To configure the Validation Station as an attended activity in UiPath, the minimum required inputs include the Taxonomy, which defines the structure and fields for data extraction, the Document Path, the Document Object Model (DOM), the Document Text obtained during digitization, and the Automatic Extraction Results, which are the results from automatic data extraction activities that need validation. These inputs allow the Validation Station to properly display and validate extracted data


NEW QUESTION # 169
What is the definition of Machine Learning?

  • A. A branch of artificial intelligence that deals with analyzing, understanding, and generating human natural languages. For example, NLP enables computers to hear speech, read text, interpret the text
    /speech or measure the sentiment.
  • B. A sub-field of artificial intelligence that enables systems to learn from data. Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.
  • C. The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
  • D. An area of machine learning concerned with artificial neural networks. These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimics biological neural networks.

Answer: B

Explanation:
Reference: UiPath Machine Learning Concepts


NEW QUESTION # 170
Which environment variable is relevant for Evaluation pipelines?

  • A. eval.redo_ocr
  • B. eval.enable_qpu
  • C. eval.enable_ocr
  • D. eval.use_cuda

Answer: A

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.
References: Document Understanding - Evaluation Pipelines


NEW QUESTION # 171
......

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