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UiPath UiPath-SAIv1 Exam Syllabus Topics:

UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:

1. What components are part of the Document Understanding Process template?

A) Import, Classification, Text Extractor, and Data Validation
B) Load Taxonomy, Digitization, Classification, Data Extraction, and Data Validation Export
C) Load Document, Categorization, Data Extraction, and Validation
D) Load Taxonomy, Digitization, Categorization, Data Validation, and Export

2. Where should a model be pinned in UiPath Communications Mining?

A) In Admin > Models.
B) In the validation page.
C) On the models tab.
D) When setting up a stream.

3. What happens to your document and the process of pre-labeling when you choose the "Predict" option from the "Predict" dropdown in Document Manager?

A) It predicts fields using the Generative Prelabeling for OOTB document types and the pre-labeling endpoint for custom document types.
B) It merges the results of the Generative Predict functionality and the results of the prelabeling endpoint (if configured). If the latter is not configured, it uses solely Generative Predict for all fields.
C) It predicts all fields using the Generative Predict capability only, ignoring any pre-labeling endpoint that may be configured. If Generative Predict is not available, it will not predict any fields.
D) It predicts fields using only the prelabeling endpoint model configured in the Prelabeling settings, and it does not use Generative Predict.

4. How do you load a taxonomy from a given non-default location text file into a variable?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

5. How do the prediction mechanisms for labels and general fields differ in the UiPath Communications Mining platform?

A) Labels predictions are based on assigned span of text and entities are predicted solely from metadata properties.
B) Label predictions rely solely on metadata properties, general fields are learnt from the presence of certain key phrases in the text.
C) Label predictions are made based on the text of the message as well as some metadata properties, while general fields are learnt from the assigned span of text and the context of the text surrounding that span.
D) Labels and general fields are both predicted based on the text of the message, with no consideration given to metadata properties or contextual surrounding text.

Solutions: