UiPath-SAIv1 Exam Questions - Real Practice Questions for Guaranteed Success

Question 1

What happens during the Classify stage of the Document Understanding Framework?

AThe OCR engine is used to extract text from the image document.

BThe extracted data is exported as a dataset.

CThe target fields are extracted from the document and sent to Action Center for human validation.

DThe documents are included in one of the taxonomy document types or skipped.

Correct : D

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AThe OCR engine is used to extract text from the image document.

BThe extracted data is exported as a dataset.

CThe target fields are extracted from the document and sent to Action Center for human validation.

DThe documents are included in one of the taxonomy document types or skipped.

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Question 2

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

AThe popularity of the ML Extractor among other UiPath users should be the primary factor when choosing a UiPath ML Extractor.
Opt for the ML Extractor that has the highest number of downloads or positive reviews.

BConsider the document types, language, and data quality when choosing an ML Extractor.
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.

CThe cost of the ML Extractor should be the main consideration when choosing an ML Extractor.
Select the ML Extractor that offers the lowest price, regardless of its performance or suitability for the specific document understanding needs.

DThe size of the ML Extractor is the most important factor to consider when choosing an ML Extractor.
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.

Correct : B

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Question 3

Which of the following extractors can be used for Data Extraction Scope activity?

AIntelligent Form Extractor, Machine Learning Extractor. Logic Extractor, and Regex Based Extractor.

BFull Extractor. Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
C Form Extractor Incremental Extractor Machine Learning Extractor and Intelligent Form Extractor

DRegex Based Extractor. Form Extractor. Intelligent Form Extractor, and Machine Learning Extractor.

Correct : D

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AIntelligent Form Extractor, Machine Learning Extractor. Logic Extractor, and Regex Based Extractor.

BFull Extractor. Machine Learning Extractor, Intelligent Form Extractor, and Regex Based Extractor.
C Form Extractor Incremental Extractor Machine Learning Extractor and Intelligent Form Extractor

DRegex Based Extractor. Form Extractor. Intelligent Form Extractor, and Machine Learning Extractor.

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Question 4

What information should be filled in when adding an entity label for the OOB (Out Of the Box) labeling template?

AName. Data Type. Attribute name, and Color.

BName, Data Type. Attribute name. Shortcut, and Color.

CName, Shortcut, and Color.

DName. Input to be labeled. Attribute name. Shortcut, and Color.

Correct : D

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AName. Data Type. Attribute name, and Color.

BName, Data Type. Attribute name. Shortcut, and Color.

CName, Shortcut, and Color.

DName. Input to be labeled. Attribute name. Shortcut, and Color.

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Question 5

What is the purpose of the "Explore" phase in UiPath Communications Mining?

ATo fully review and correctly tag the model version, regardless if it's 'Live' or 'Staging'.

BTo use the bulk label functionality, a helpful tool to quickly train the model when searching for specific terms.

CTo provide each label/entity in a taxonomy with enough training examples so the model can make accurate predictions at scale.

DTo review the clusters of similar communications from a data set that unsupervised learning automatically found.

Correct : C

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ATo fully review and correctly tag the model version, regardless if it's 'Live' or 'Staging'.

BTo use the bulk label functionality, a helpful tool to quickly train the model when searching for specific terms.

CTo provide each label/entity in a taxonomy with enough training examples so the model can make accurate predictions at scale.

DTo review the clusters of similar communications from a data set that unsupervised learning automatically found.

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Master UiPath-SAIv1 Exam with Reliable Practice Questions

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