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If you want to get promotions or high-paying jobs in the UiPath sector, then it is important for you to crack the UiPath Certified Professional Specialized AI Professional v1.0 (UiPath-SAIv1) certification exam. The UiPath UiPath-SAIv1 certification has become the best way to validate your skills and accelerate your tech career. UiPath-SAIv1 Exam applicants who are doing jobs or busy with their other matters usually don't have enough time to study for the test.

UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q112-Q117):

NEW QUESTION # 112
Which of the following OCR (Optical Character Recognition) engines is not free of charge?

A. Microsoft OCR.
B. Tesseract.
C. Microsoft Azure OCR.
D. OmniPaqe.

Answer: D

Explanation:
According to the UiPath documentation, OmniPaqe is a paid OCR engine that requires a license to use. It is one of the most accurate and reliable OCR engines available, and it supports over 200 languages. The other OCR engines listed are free of charge, but they may have different features, limitations, and performance levels. For example, Tesseract is an open-source OCR engine that supports over 100 languages, but it may not be as accurate as OmniPaqe. Microsoft Azure OCR and Microsoft OCR are both cloud-based OCR engines that use Microsoft's technology, but they have different capabilities and pricing models. Microsoft Azure OCR can process both printed and handwritten text, and it uses a pay-as-you-go model based on the number of transactions. Microsoft OCR can only process printed text, and it is included in the UiPath Studio license.
References:
* Document Understanding - OCR Engines
* Automation Pricing - Complete UiPath Enterprise Solution

NEW QUESTION # 113
What is the difference between OCR (Optical Character Recognition) and IntelligentOCR?

A. 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.
B. 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.
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. 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.

Answer: D

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 # 114
What additional information can be included in the exported data, apart from the extraction results?

A. The number of occurrences and the extraction confidence.
B. The extraction confidence and the digitization confidence.
C. The page number from which the field was extracted and the exact position on the page.
D. The position on the page.

Answer: C

Explanation:
The exported data from the UiPath Document Understanding Template contains the extraction results in a JSON format, along with some additional information that can be useful for debugging or analysis purposes.
One of the additional information that can be included is the page number from which the field was extracted and the exact position on the page, represented by the coordinates of the bounding box. This information can help to locate the field on the original document image and to verify the accuracy of the extraction. The additional information can be enabled or disabled by setting the IncludeMetadata parameter to true or false in the Config file of the template.
References: Document Understanding Process: Studio Template, Export Results

NEW QUESTION # 115
What are the available options for Scoring in Document Manager, that apply to string fields only?

A. Exact match and Levenshtein.
B. Exact match and Auto.
C. Exact match and First span.
D. Exact match and Native string search.

Answer: A

Explanation:
In UiPath Document Manager, for string fields, the available options for scoring include:
* Exact match: This checks whether the extracted string exactly matches the expected value.
* Levenshtein: This method computes the "distance" between two strings, which is the number of single- character edits (insertions, deletions, or substitutions) required to change one string into the other. It is used to assess the similarity between the extracted string and the expected value.
These scoring methods help evaluate the accuracy of string extraction in the document understanding process.
For more details, refer to:
* UiPath Document Understanding Framework: String Field Scoring
* Levenshtein Distance in UiPath: Scoring String Fields

NEW QUESTION # 116
Under what condition can a dataset be deleted in UiPath Al Center?

A. If it is not associated with any ML skills.
B. If it is not being used in any active pipeline.
C. If it has not been modified within the last 24 hours.
D. If it has never been used in a pipeline.

Answer: B

Explanation:
In UiPath AI Center, datasets can only be deleted if they are not being utilized in any active pipelines. This ensures that datasets tied to running or scheduled operations are not inadvertently deleted, which could disrupt ongoing processes. Once the dataset is confirmed to be unused in any active pipeline, it can safely be removed

NEW QUESTION # 117
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