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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q132-Q137):

NEW QUESTION # 132
Why should using the Search feature be limited when training in UiPath Communications Mining?

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

Answer: C

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 # 133
Which of the following is a best practice when choosing a UiPath ML (Machine Learning) Extractor?

  • A. Consider the document types, language, and data quality. It is important to select one that is specifically trained or optimized for the document types being processed. It is also important to take into account the quality and diversity of the training data used to train the ML Extractor to ensure accurate and reliable extraction results.
  • B. The size of the ML Extractor is the most important factor to consider. Bigger models always perform better and provide more accurate extraction results because the development team invested time and effort into creating the algorithm, which in turn will result in better performance for the trained model.
  • C. The popularity of the ML Extractor among other UiPath users should be the primary factor. Opt for the ML Extractor that has the highest number of downloads or positive reviews.
  • D. The cost of the ML Extractor should be the main consideration. Select the ML Extractor that offers the lowest price, regardless of its performance or suitability for the specific document understanding needs.

Answer: A

Explanation:
The best practice is to select an ML Extractor based on document types, language, and data quality. Choosing a model specifically optimized for the type of document being processed ensures higher accuracy and reliability. The quality and diversity of the training data used to develop the model play a significant role in its performance.


NEW QUESTION # 134
What does the Label Trends table in UiPath Communications Mining show?

  • A. How the top 10 senders for a given time period perform compared to the previous period and their change in rank.
  • B. How the top 10 labels and entities for a given time period perform compared to the previous period and their change in rank.
  • C. How the top 10 entities for a given time period perform compared to the previous period and their change in rank.
  • D. How the top 10 labels for a given time period perform compared to the previous period and their change in rank.

Answer: D


NEW QUESTION # 135
What is the difference between OCR (Optical Character Recognition) and IntelligentOCR?

  • A. 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.
  • 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. 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.
  • D. 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.

Answer: C

Explanation:
According to the UiPath documentation and web search results, OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position. OCR is used to digitize documents and make them searchable and editable. OCR can be performed by different engines, such as Tesseract, Microsoft OCR, Microsoft Azure OCR, OmniPaqe, and Abbyy. OCR is a basic step in the Document Understanding Framework, which is a set of activities and services that enable the automation of document processing workflows.
IntelligentOCR is a UiPath Studio activity package that contains all the activities needed to enable information extraction from documents. Information extraction is the process of identifying and extracting relevant data from documents, such as fields, tables, entities, and labels. IntelligentOCR uses different components, such as classifiers, extractors, validators, and trainers, to perform information extraction.
IntelligentOCR also supports different formats, such as PDF, PNG, JPG, TIFF, and BMP. IntelligentOCR is an advanced step in the Document Understanding Framework, which builds on the OCR output and provides more functionality and flexibility.
References:
* About the IntelligentOCR Activities Package
* OCR Activities
* OCR Feature Comparison: Uipath Community vs Uipath Licensed OCR
* Document Understanding - Introduction


NEW QUESTION # 136
Which technology enables UiPath Communications Mining to analyze and enable action on messages?

  • A. Natural Language Processing (NLP)
  • B. Virtual Reality.
  • C. Cloud Computing.
  • D. Robotic Process Automation

Answer: A

Explanation:
UiPath Communications Mining is a new capability to understand and automate business communications. It uses state-of-the-art AI models to turn business messages-from emails to tickets-into actionable data. It does this in real time and on all major business communications channels1. Natural Language Processing (NLP) is the branch of AI that deals with analyzing, understanding, and generating natural language. NLP enables UiPath Communications Mining to extract the most important data from any message, such as reasons for contact, data fields, and sentiment2. NLP also allows UiPath Communications Mining to deploy custom AI models in hours, not weeks, by using automatic labeling and annotation2.
References: 2 Communications Mining - Automate Business Communications | UiPath 1 Introducing UiPath Communications Mining | UiPath


NEW QUESTION # 137
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