UiPath AI Specialist v1 — Question 87

Given the following scenario: You have a trained version of the Document Understanding Model with 1000 pages called v22.10.0.1. You have an evaluation dataset of 100 pages that gave a score of 0.72 for v22.10.0.1. The business team labeled 800 pages and they ask for an increment of the Model that would contain all 1000+800 pages.

What is the first recommended pipeline run configuration to create the new version?

Answer options

• A. Run a Pipeline on the Package with the following settings: Pipeline type: Full - Package Major Version: 22.10.0 - Package Minor Version: 1 - Input Dataset: 800 pages - Evaluation Dataset: 100 pages
• B. Run a Pipeline on the Package with the following settings: Pipeline type: Training - Package Major Version: 22.10.0 - Package Minor Version: 1 - Input Dataset: 1000+800 pages - Evaluation Dataset: N/A
• C. Run a Pipeline on the Package with the following settings: Pipeline type: Full - Package Major Version: 22.10.0 - Package Minor Version: 0 - Input Dataset: 1000+800 pages - Evaluation Dataset: 100 pages
• D. Run a Pipeline on the Package with the following settings: Pipeline type: Evaluate - Package Major Version: 22.10.0 - Package Minor Version: 0 - Input Dataset: 1000+800 pages - Evaluation Dataset: 100 pages

Correct answer: C

Explanation

The correct choice is C, as it specifies a Full pipeline type, which is appropriate for creating a new version of the model that incorporates the expanded dataset of 1000+800 pages while using the evaluation dataset of 100 pages. Option A incorrectly uses 800 pages as the input dataset, and options B and D do not align with the requirement of producing a new version with the updated dataset properly.