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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q107-Q112):

NEW QUESTION # 107
What is the difference between OCR (Optical Character Recognition) and IntelligentOCR?

A. IntelligentOCR is a UiPath Studio activity package that contains all the activities needed to enable information extraction, while OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position.
B. OCR (Optical Character Recognition) is a UiPath Studio activity package that contains IntelligentOCR as an activity used to read text from images, recognizing each character and its position. OCR is widely used in Document Understanding processes.
C. OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position, while IntelligentOCR is an enhanced version of it that can also work with noisier input data.
D. IntelligentOCR is simply a rebranding of the OCR (Optical Character Recognition), both of them being methods that read text from images, recognizing each character and its position.

Answer: A

NEW QUESTION # 108
What does the following expression do?
subTotalAdditions.Select(Function(field) CDec(documentFields(field))).ToList.Sum() + subtotal

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

Answer: B

NEW QUESTION # 109
Considering the Process Design phase, what should be Taken into consideration as a best practice when creating the scope for the automation?

A. Document Types. Templates. Technical Criteria. Languages. Scans/Digital docs. Success Criteria. OCR engines.
B. Document Types. Taxonomy. Languages. Success Criteria. OCR, ML Model.
C. Document Types. Technical Criteria, Templates. Languages, Scans/Digital docs, OCR quality.
D. Document Types. Taxonomy. Templates. Languages. Scans/Digital docs, Success Criteria. Technical Criteria.

Answer: D

Explanation:
When creating the scope for automation during the Process Design phase, several critical factors need to be taken into account to ensure a successful automation project. These include:
* Document Types: The types of documents that will be processed (invoices, receipts, etc.).
* Taxonomy: The classification and structuring of the data that will be extracted.
* Templates: The standardized formats for documents, which can improve extraction accuracy.
* Languages: The different languages in which documents are written, affecting the need for multilingual support.
* Scans/Digital Docs: Whether the documents are scanned or born-digital, impacting the accuracy of OCR.
* Success Criteria: Clear metrics that define the success of the automation (such as accuracy or processing time).
* Technical Criteria: Requirements related to the infrastructure, integration, and tools being used (OCR engines, ML models, etc.).
These elements are crucial in defining the technical and functional requirements for automating document processing tasks effectively, ensuring that the scope covers all necessary considerations.
For more details, refer to:
* UiPath Process Design Best Practices: Process Design Considerations
* UiPath Document Understanding Framework: Scope Definition in Document Understanding

NEW QUESTION # 110
Which UiPath Communications Mining model performance factor relates to the proportion of messages in the dataset that have informative label predictions?

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

Answer: D

Explanation:
In UiPath Communications Mining, the term Coverage refers to the proportion of messages in the dataset that have informative label predictions. This is an important metric that indicates how much of the dataset the model is able to classify with meaningful and relevant labels. High coverage means that the model is effectively assigning labels to a large portion of the data, which is crucial for ensuring the model's usefulness in automating communication mining tasks.
For more details, refer to:
* UiPath Communications Mining Performance Factors: Model Coverage and Accuracy
* Communications Mining: Coverage and Other Metrics

NEW QUESTION # 111
What is the primary purpose of assigning labels to messages within a dataset in UiPath Communications Mining?

A. To provide the platform with a collection of keywords associated with each label for predicting other instances.
B. To allocate 20 training examples for each label.
C. To formulate a comprehensive training set that closely reflects the entirety of the dataset.
D. To apply labels to a maximum amount of data to enhance model performance.

Answer: C

NEW QUESTION # 112
......

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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q107-Q112):

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