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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q102-Q107):

NEW QUESTION # 102
What differentiates UiPath Communications Mining general fields trained from scratch from general fields that are pre-trained?

A. The trained-from-scratch general fields depend on the model version, while the ones that are pre-trained do not.
B. The trained-from-scratch general fields have better accuracy, while the pre-trained general fields have a longer training time.
C. The trained-from-scratch general fields are entirely user-trained, while the ones that are pre-trained are typically based on a set of standard or custom-defined rule
D. The trained-from-scratch general fields need to be normalized to be used in downstream automation, while the ones that are pre-trained can only be used in dashboards within the platform.

Answer: C

Explanation:
In UiPath Communications Mining, general fields that are trained from scratch require user-defined inputs and training data, making them highly customizable but dependent on the specific data provided by the user.
In contrast, pre-trained general fields are based on predefined rules and training models developed by UiPath.
These pre-trained fields offer out-of-the-box functionality and are optimized for common use cases, whereas user-trained fields offer more flexibility to meet specific business requirements.
(Source: UiPath Communications Mining documentation)

NEW QUESTION # 103
What will be displayed in the Output panel after running the workflow below?

A. Status is Unknown.
B. Status is New.
C. Status is Pending.
D. Status not valid.

Answer: D

Explanation:
From the provided workflow:
* The Assign Status activity sets the variable Status to the value "Approved".
* The Check Status activity evaluates the value of Status against defined conditions.
* It has branches for "Pending", "New", and "Unknown".
* The "Default" branch is triggered if none of these conditions match the value of Status.
* Since "Approved" does not match "Pending", "New", or "Unknown", the Default branch will execute.
The Write Line activity in the Default branch outputs "Status not valid." to the Output panel.

NEW QUESTION # 104
What components are part of the Document Understanding Process template?

A. Import. Classification. Text Extractor, and Data Validation.
B. Load Document. Categorization. Data Extraction, and Validation.
C. Load Taxonomy, Digitization. Categorization. Data Validation, and Export.
D. Load Taxonomy, Digitization. Classification, Data Extraction, and Data Validation Export.

Answer: D

NEW QUESTION # 105
What should a UiPath Communications Mining taxonomy contain when it is being imported?

A. Label descriptions.
B. Label predictions.
C. Entity descriptions.
D. Entity predictions.

Answer: A

Explanation:
According to the UiPath documentation, a UiPath Communications Mining taxonomy is a collection of all the labels applied to the verbatims in a dataset, structured in a hierarchical manner. Labels are the concepts and intents that you want to capture in the dataset to suit your specific objectives. When you import your taxonomy from a spreadsheet, you need to provide the label descriptions, which are the names of the labels and their level in the hierarchy. Label predictions and entity predictions are the outputs of the model training process, and they are not part of the taxonomy. Entity descriptions are the definitions of the entities that you want to extract from the verbatims, and they are not part of the taxonomy either.
References:
* Communications Mining - Taxonomies
* Communications Mining - Importing your taxonomy
* Communications Mining - Building your taxonomy structure

NEW QUESTION # 106
How do you use the Generative Classifier within UiPath Document Understanding Cloud APIs to classify a document as either an "Invoice" or a "Receipt"?

A. By sending a GET request to /api/framework/projects/{projectld}/classifiers/generative_classifier
/classification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and descriptions.
B. By sending a POST request to yapi/framework/projectsy{projectld}/ctassifiers/generative_classifier
/classification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and descriptions.
C. By sending a PUT request to /api/framework/proiects/{projectld}/classifiers/generative_classifier
/classification without any specific classification details in the body of the request.
D. By sending a POST request to /api/framework/projects/{projectld}/classifiers/generative_classifier
/dassification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and a description for their fields.

Answer: B

Explanation:
In UiPath Document Understanding Cloud APIs, the Generative Classifier is used to classify documents by leveraging a generative AI model. To classify a document as either an "Invoice" or a "Receipt," a POST request must be sent to the /api/framework/projects/{projectId}/classifiers/generative_classifier/classification endpoint. The body of this request should contain prompts specifying the classification types (in this case,
"Invoice" and "Receipt") along with their corresponding descriptions. This allows the model to correctly classify incoming documents based on these predefined prompts.
For further reading, refer to:
* UiPath Document Understanding API Documentation: Cloud API for Classification
* Generative Classifier APIs: UiPath Classification APIs

NEW QUESTION # 107
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