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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q208-Q213):

NEW QUESTION # 208
When is it recommended to use Main-ActionCenter in the context of the Document Understanding Process?

A. When testing locally or implementing an unattended process.
B. When testing locally.
C. When testing locally or implementing an attended process.
D. When implementing an attended process.

Answer: C

NEW QUESTION # 209
How many types of synchronization mechanisms exist in the Document Understanding Process to prevent multiple robots to write in a file at the same time?2

A. 0
B. 1
C. 2
D. 3

Answer: D

NEW QUESTION # 210
What can the Sentiment Analysis out-of-the-box model be used for?

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

Answer: B

Explanation:
The Sentiment Analysis out-of-the-box model in UiPath is used to interpret and classify the emotional tone within text data. It is particularly useful for analyzing product reviews, customer feedback, social media posts, and emails to understand customer sentiment and emotional responses, helping businesses make informed decisions based on these insights.(Source: UiPath Sentiment Analysis model documentation

NEW QUESTION # 211
What does the following expression do?
subTotalAdditions.Select(Function(field) CDec(documentFields(field))).ToList.Sum() + subtotal

A. Sums up all the line amounts converted to CDec and the subtotal
B. Sums up the subtotal to the total variable by converting it to CDec
C. Sums up subtotal fields from the config file converted to CDec with the subtotal.
D. Sums up all the line amounts and converts the fields to CDec.

Answer: A

Explanation:
The expression does the following:
* It uses the subTotalAdditions variable, which is a list of field names that represent the line amounts in the document.
* It uses the Select method to apply a function to each element of the list. The function takes a field name as an argument and returns the value of the corresponding document field converted to a decimal number using the CDec function.
* It uses the ToList method to convert the result of the Select method into a list of decimal numbers.
* It uses the Sum method to calculate the sum of the elements in the list.
* It adds the subtotal variable, which is another decimal number, to the sum.
The expression returns the total amount of the document, which is the sum of all the line amounts and the subtotal.
References:
* VB.NET - Select Method
* VB.NET - CDec Function
* VB.NET - ToList Method
* [VB.NET - Sum Method]

NEW QUESTION # 212
What is the Machine Learning Extractor?

A. A tool that helps extract data from different document structures, and is particularly useful when the same document has multiple formats.
B. A tool using machine learning models to identify and report on data targeted for data extraction.
C. A specialized model that can recognize multiple languages in the same document using API calls to a Hugging Face model with over 250 languages.
D. 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.

Answer: A

Explanation:
The Machine Learning Extractor utilizes machine learning models to effectively extract data from documents, especially when dealing with varying structures or formats within the same document type. This capability is crucial in scenarios where documents do not follow a strict template and have variations in their layout or content organization. The extractor can be trained to understand these variations and accurately extract the needed information.
The Machine Learning Extractor is a data extraction tool that uses machine learning models to extract data from various types of documents, such as invoices, receipts, or forms. It is especially useful when the same document type has multiple layouts or formats, as it can learn and infer the values for the targeted fields, even from documents and layouts it has never seen before1.
The Machine Learning Extractor can be used with one of UiPath's public Document Understanding endpoints, which provide generic models for certain document types, or with custom trained machine learning models hosted in AI Center, which can be tailored to specific use cases. The Machine Learning Extractor can be configured and trained using the Data Extraction Scope activity in UiPath Studio2.
References:
* Document Understanding - Machine Learning Extractor
* UiPath Activities - Data Extraction Scope

NEW QUESTION # 213
......

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Ned Cook Ned Cook

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