HOT UIPATH-SAIAV1 EXAM BRAIN DUMPS 100% PASS | LATEST UIPATH-SAIAV1 VALID TEST QUESTION: UIPATH SPECIALIZED AI ASSOCIATE EXAM (2023.10)

Hot UiPath-SAIAv1 Exam Brain Dumps 100% Pass | Latest UiPath-SAIAv1 Valid Test Question: UiPath Specialized AI Associate Exam (2023.10)

Hot UiPath-SAIAv1 Exam Brain Dumps 100% Pass | Latest UiPath-SAIAv1 Valid Test Question: UiPath Specialized AI Associate Exam (2023.10)

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q181-Q186):

NEW QUESTION # 181
What is the minimum number of pinned examples users should provide per label in UiPath Communications Mining?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: B

Explanation:
Mining, it is recommended that users provide a minimum of 25 pinned examples per label to ensure proper training and accurate predictions by the machine learning models. This number allows the platform to have a sufficient variety of examples to generalize and make reliable predictions for each label in real-world scenarios.
The minimum number of pinned examples per label is crucial because it enhances both precision and recall, helping the model effectively differentiate between labels and improving overall model performance. If fewer examples are provided, the model may struggle with generalization and might not perform well in distinguishing between similar or overlapping categories.
This standard of 25 pinned examples is outlined in several UiPath documentation sections and best practices for training models in Communications Mining UiPath Documentation UiPath Documentation UiPath Community Forum For further details, refer to UiPath's official Communications Mining User Guide on their documentation portal.


NEW QUESTION # 182
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. 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.
  • 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: A

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 # 183
What are the main components of a digital business process?

  • A. Inputs, Process flows, Outputs
  • B. Inputs, Process flows, Assignees, Outputs
  • C. Inputs, Source applications, Assignees
  • D. Inputs, Process flows, Source applications, Outputs

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In the context of automation and digital workflows, adigital business processconsists of:
* Inputs: The raw data required
* Process flows: The sequence of tasks or actions
* Outputs: The final results generated
Assignees and source applications aresupporting components, but not universally required in every digital process.
* UiPath Academy Reference:Automation Hub Training # Defining Business ProcessesUiPath Process Mining - Fundamentals


NEW QUESTION # 184
Which UiPath Communications Mining label category is often mapped to a service catalogue?

  • A. Customer experiences.
  • B. Root causes / Exceptions.
  • C. Products / Systems.
  • D. Process / Request types.

Answer: D

Explanation:
In UiPath's Communications Mining, the label category "Process / Request types" is often mapped to a service catalog. This label category is used to identify different types of processes or service requests that are common in customer communications. It enables automation processes to classify incoming communications into distinct service categories, which are typically mapped to entries in a service catalog. This allows organizations to handle customer inquiries more effectively by routing them to the correct department or service line based on the classification provided by this label category.
For example, if a communication relates to a request for support or a service inquiry, it would be classified under "Process / Request types," allowing it to be mapped directly to an appropriate service in the service catalog.
For more details, refer to:
UiPath Communications Mining Documentation: Label Categories
Communications Mining Process Categories: UiPath AI Communications Mining


NEW QUESTION # 185
What information is required when creating a data labeling session?

  • A. Data labeling name, language, and number of documents.
  • B. Data labeling name, dataset. and Al Center project.
  • C. Dataset and Al Center project.
  • D. Data labeling session name and dataset.

Answer: D

Explanation:
When creating a data labeling session in UiPath AI Center, the key pieces of information required are:
The data labeling session name: A unique identifier for the session.
The dataset: The data that will be used in the labeling session.
For more details, refer to:
UiPath AI Center Documentation: Data Labeling Sessions


NEW QUESTION # 186
......

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