UiSAIAv1

UiSAIAv1 practice questions, page 6 of 8, with answer review and explanations.

Question 26

What value should be set for the DegreeofParallelism property of the DigitizeDocument activity to maximize the number of logical processors?

  1. ‒1
  2. 0
  3. 1
  4. 2

Question 27

Why is combining both cluster labeling and search-based labeling recommended during the Discover phase?

  1. It eliminates the need for any manual labeling.
  2. It automates message routing before the model is trained.
  3. It reduces training time by focusing only on high-frequency keywords.
  4. It helps ensure broader coverage and more precise model training by capturing both common and rare message patterns.

Question 28

The “Train” stage from Document Understanding Framework usually comes after?

  1. Digitization
  2. Classification
  3. Extraction
  4. Validation

Question 29

What does Autopilot provide after processing your natural language instructions in Studio Web?

  1. Autopilot will then provide a visual preview of the production-ready workflow, ensuring that you have a clear understanding of the automation’s design and logic before proceeding to the actual development process.
  2. Autopilot will the provide a visual preview of the proposed workflow, ensuring that you have a clear understanding of the automation’s design and logic before proceeding to the actual development process.
  3. Autopilot will then provide a visual preview of the proposed workflow, ensuring that you have a complete understanding of the automation’s design and logic after proceeding to the actual development process.
  4. Autopilot will then provide a textual preview of the proposed workflow, ensuring that you have a clear understanding of the automation’s design and logic before proceeding to the actual development process.

Question 30

When is it recommended to use an ML (Machine Learning) model solution?

  1. For simple use cases in which data is always found in a strict, predictable format and context.
  2. When documents have little to no variation in the document layouts.
  3. For fixed-layout documents for data extraction, including handwriting recognition and signature detection.
  4. For structured or semi-structured documents in which layouts of different document providers vary greatly.