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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q34-Q39):

NEW QUESTION # 34
What are the available options for Scoring in Document Manager, that apply to string fields only?

A. Exact match and Auto.
B. Exact match and First span.
C. Exact match and Levenshtein.
D. Exact match and Native string search.

Answer: C

Explanation:
In UiPath Document Manager, for string fields, the available options for scoring include:
* Exact match: This checks whether the extracted string exactly matches the expected value.
* Levenshtein: This method computes the "distance" between two strings, which is the number of single- character edits (insertions, deletions, or substitutions) required to change one string into the other. It is used to assess the similarity between the extracted string and the expected value.
These scoring methods help evaluate the accuracy of string extraction in the document understanding process.
For more details, refer to:
* UiPath Document Understanding Framework: String Field Scoring
* Levenshtein Distance in UiPath: Scoring String Fields

NEW QUESTION # 35
Which UiPath Communications Mining model performance factor assesses the proportion of the entire dataset that has informative label predictions?

A. Underperforming labels.
B. Balance.
C. Average label performance.
D. Coverage.

Answer: D

Explanation:
According to the UiPath Communications Mining documentation, coverage is one of the four main factors that contribute to the model rating, which is a holistic measure of the model's performance and health.
Coverage assesses the proportion of the entire dataset that has informative label predictions, meaning that the predicted labels are not generic or irrelevant. Coverage is calculated as the percentage of verbatims (communication units) that have at least one informative label out of the total number of verbatims in the dataset. A high coverage indicates that the model is able to capture the main topics and intents of the communications, while a low coverage suggests that the model is missing important information or producing noisy predictions.
References:
* Communications Mining - Understanding and improving model performance
* Communications Mining - Model Rating
* Communications Mining - It's All in the Numbers - Assessing Model Performance with Metrics

NEW QUESTION # 36
Under what condition can a dataset be edited in UiPath AI Center?

A. If it has not been modified within the last 24 hours.
B. If it is not linked to any data labeling session.
C. There are no restrictions in editing a dataset.
D. If it is not being used in any active pipeline.

Answer: D

NEW QUESTION # 37
What is Document Understanding?

A. A solution for combining different approaches to extract information from workflows.
B. A solution for combining different approaches to extract entities from Word documents such as contracts and agreements.
C. A solution for the processing of Excel files for extracting data tables.
D. A solution that offers the ability to digitize, extract, validate, and train data from documents.

Answer: D

NEW QUESTION # 38
When should a UiPath Communications Mining taxonomy be imported?

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

Answer: C

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 # 39
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