UiPath-SAIAv1 무료 덤프문제 온라인 액세스

What rule should be used in Taxonomy Manager for a text field that can have one of multiple known values?

• A.Contains
• B.Starts with
• C.Possible values
• D.Ends with

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.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.
• C.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.
• 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.

If you need to retrieve an item based on a corresponding identifier in UiPath, which collection type would you use?

• A.System.Collections.Generic.Dictionary<TKey, TValue> as it stores indexed values
• B.System.Collections.Generic.List<T> as it stores ordered values
• C.System.Collections.Generic.Dictionary<TKey, TValue> as it stores key-value pairs
• D.ArrayOf<T> or System.DataType[] as it stores indexed values

What additional property does the ML Extractor have compared to the other types of extractors?

• A.Endpoint
• B.Timeout
• C.ML Skill
• D.ApiKey

Given the following scenario:
* You have a trained version of the Document Understanding Model with 1000 pages called v22.10.0.1.
* You have an evaluation dataset of 100 pages that gave a score of 0.72 for v22.10.0.1.
* The business team labeled 800 pages and they ask for an increment of the Model that would contain all
1000+800 pages.
What is the first recommended pipeline run configuration to create the new version?

• A.Pipeline type: FullPackage Major Version: 23.10.4.0 Package Minor Version: 1 Input Dataset: 800 pages Evaluation Dataset: 100 pages
• B.Pipeline type: Full Package Major Version: 23.10.4.0 Package Minor Version: 0 Input Dataset:
  1000+800 pages Evaluation Dataset: 100 pages
• C.Pipeline type: EvaluatePackage Major Version: 23.10.4.0 Package Minor Version: 0 Input Dataset:
  1000+800 pages Evaluation Dataset: 100 pages
• D.Pipeline type: Training Package Major Version: 23.10.4.0 Package Minor Version: 1 Input Dataset:
  1000+800 Evaluation Dataset: N/A