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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q135-Q140):

NEW QUESTION # 135
How should the data be managed after extraction in the UiPath Document Understanding process?

A. Directly pass the extracted data to other processes via Arguments.
B. Store the data temporarily in local folders before processing.
C. Keep the data only in the queue items without serialization.
D. Serialize the data and store it in a storage bucket or similar location.

Answer: D

Explanation:
After the data is extracted using the UiPath Document Understanding framework, it is crucial to handle the data securely and efficiently for further use in other processes or storage. Serialization is often used to convert the extracted data into a format suitable for storage or transmission. By serializing the data, it can be stored in storage buckets (such as cloud storage or a database) and accessed later as needed for subsequent processing.
This approach ensures that data is preserved, secure, and available for other workflows or automations.
(Source: UiPath Document Understanding Documentation).

NEW QUESTION # 136
Why should using the Search feature be limited when training in UiPath Communications Mining?

A. It could decrease model bias.
B. It could decrease model coverage.
C. It could increase model coverage.
D. It could increase model bias.

Answer: D

Explanation:
In UiPath Communications Mining, over-reliance on the Search feature during the training process can lead to an increase in model bias. This happens because using search-based filtering to identify and label examples might not represent the full diversity of the data. The model could be trained on a skewed subset of the data, causing it to favor certain patterns or keywords, and thus biasing the model towards specific types of data rather than learning to generalize effectively across all data.
Limiting the use of search ensures that the training process considers a broader and more representative sample of the data, which reduces the risk of introducing bias into the model and helps it generalize better to new, unseen communications.
For more details, refer to:
* UiPath Communications Mining Documentation: Model Training and Avoiding Bias

NEW QUESTION # 137
What is the difference in scope between variables and arguments in UiPath?

A. Variables can only be used within the main workflow, while arguments can only be used within invoked workflows.
B. Variables are global and arguments are local.
C. Variables have a limited scope within a specific workflow or sequence, while arguments are used to pass data between workflows.
D. Variables are used for input data, while arguments are used for output data.

Answer: C

Explanation:
In UiPath:
* Variables are scoped to a specific workflow or sequence and are used to store data for operations within that scope.
* Arguments, on the other hand, are used to pass data between workflows, allowing information to flow in or out of invoked workflows.

NEW QUESTION # 138
What can the Custom Named Entity Recognition out-of-the-box model be used for?

A. Relate customer questions to FAQ documents and automatically pull responses from these documents.
B. Extract and classify text in emails, letters, web pages, research papers, and call transcripts.
C. Classify text in resumes, emails, web pages, and other formats.
D. Understand sentiment in product reviews, customer surveys, social media posts, and emails.

Answer: B

NEW QUESTION # 139
What are the two main data extraction methodologies used in document understanding processes?

A. Rule-based and hybrid data extraction.
B. Manual and model-based data extraction.
C. Hybrid and manual data extraction.
D. Rule-based and model-based data extraction.

Answer: D

NEW QUESTION # 140
......

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