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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:

1. What is the Machine Learning Extractor?

A) A specialized model that can recognize multiple languages in the same document using API calls to a Hugging Face model with over 250 languages.
B) A tool that helps extract data from different document structures, and is particularly useful when the same document has multiple formats.
C) An extraction model that can be enabled and trained in Al Center. For better accuracy. 25 documents per model are recommended to train the model.
D) A tool using machine learning models to identify and report on data targeted for data extraction.

2. What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?

A) Train models using unsupervised learning.
B) Monitor model performance and receive recommendations.
C) Access detailed, quervable charts, statistics, and customizable dashboards.
D) View, save, and modify dataset model versions.

3. What new capability has been introduced for processing unstructured documents in the 2023.10 release?

A) Generative capabilities for classifying various document types.
B) Manual classification of document types.
C) Only using pre-trained extraction models.
D) Real-time document translation.

4. What is the definition of Machine Learning?

A) A branch of artificial intelligence that deals with analyzing, understanding, and generating human natural languages. For example, NLP enables computers to hear speech, read text, interpret the text
/speech or measure the sentiment.
B) An area of machine learning concerned with artificial neural networks. These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimics biological neural networks.
C) A sub-field of artificial intelligence that enables systems to learn from data. Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.
D) The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.

5. 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 /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.
C) 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.
D) 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.

Solutions: