Question 1

What does the feature in the red highlighted box indicate?

Options :

A : A label annotation.

B : A label-s confidence level.

C : A label prediction.

D : A label suggestion.

Answer: C

Question 2

When is ERR_AbortProcess.xaml executed?

Options :

A : When there is an exception with a classified document.

B : When there is an exception with a non-classified document.

C : When a process is aborted due to a terminating exception.

D : When an email should be sent.

Answer: C

Question 3

Which activity can be used to convert the default taxonomy.json file into a variable for further use?

Options :

A : UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadTaxonomy

B : UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadFile

C : UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadTaxonomyFile

D : UiPath.IntelligentOCR.Activities.TaxonomyManagement.LoadFileTaxonomy

Answer: C

Question 4

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

Options :

A : Tesseract.

B : Microsoft Azure OCR.

C : OmniPage.

D : Microsoft OCR.

Answer: C

Question 5

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

Options :

A :

The 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.

B :

Consider 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.

C :

The 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.

D :

The 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.

Answer: B

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