UiPath Certified Professional Specialized AI Professional v1.0 - UiPath-SAIv1 Free Exam Questions

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.

A. Name. Input to be labeled. Attribute name. Shortcut, and Color.

B. Name, Shortcut, and Color.

C. Name. Data Type. Attribute name, and Color.

D. Name, Data Type. Attribute name. Shortcut, and Color.

A. The Document Understanding Process contains the activities that can be used in a Process, while the Document Understanding Framework is the template that can be found in Studio.

B. The Document Understanding Process contains the activities that can be used in a Library, while the Document Understanding Framework is the template that can be found in Studio.

C. The Document Understanding Framework contains the activities that can be used in a Library, while the Document Understanding Process is the template that can be found in Studio.

D. The Document Understanding Framework contains the activities that can be used in a Process, while the Document Understanding Process is the template that can be found in Studio.

A. For every 100 messages which should have been labelled as 'Label X', 80 were labelled and 20 were missed.

B. For every 100 messages, 80 would be labelled correctly as 'Label X', and 20 would be labelled incorrectly.

C. For every 100 messages which should have been labelled as 'Label X\ 20 were labelled and 80 were missed.

D. For every 100 messages, 20 would be labelled correctly as 'Label X', and 80 would be labelled incorrectly.

A. Allows the extractor to improve its prediction over time by using better OCR (Optical Character Recognition) engines.

B. Allows the model to learn from human-validated data.

C. Improves the extractor accuracy by learning from the classification result.

D. Allows a human to validate and correct the extracted data.

A. 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.

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. 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.

A. You need to process documents larger than five pages.

B. You have a large dataset that needs long-term processing.

C. You need real-time interaction and you are only processing documents with maximum five pages.

D. You need to handle multiple operations simultaneously, allowing for concurrent processing and avoiding idle time.

A. To allocate 20 training examples for each label.

B. To apply labels to a maximum amount of data to enhance model performance.

C. To provide the platform with a collection of keywords associated with each label for predicting other instances.

D. To formulate a comprehensive training set that closely reflects the entirety of the dataset.

A. Integer

B. Tuple

C. Array

D. List