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UiPath Specialized AI Associate Exam (2023.10) Sample Questions:

1. How can you build custom models supported by AI Center?

A) Using the Al Center IDE (Integrated Development Environment).
B) Using the Al Center model builder.
C) Using a C/C++ IDE (Integrated Development Environment), then upload the code to Al Center IDE.
D) Using a Python IDE (Integrated Development Environment) or an AutoML platform.

2. The "Train" stage from Document Understanding Framework usually comes after?

A) Classification.
B) Extraction.
C) Validation.
D) Digitization.

3. What is the purpose of the One Click Classification feature in the UiPath Document Understanding interface?

A) It enables you to directly edit and alter the underlying code of the ML models used for classification, giving the users unprecedented control over the machine learning process in Document Understanding.
B) It allows users to bypass the need for manually creating Datasets, Pipelines, and ML Skills in AI Center and enables training document classifiers directly within Document Understanding.
C) It is a pre-trained Machine Learning model that helps you classify documents by providing a prompt.
D) It enables users to manually create Datasets, Pipelines, and ML Skills in Document Understanding itself.

4. 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 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.
C) 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.
D) It predicts fields using only the prelabeling endpoint model configured in the Prelabeling settings, and it does not use Generative Predict.

5. What are the three types of classifier trainers available in packages UiPath.lntelligentOCR.Activities and UiPath.DocumentUnderstanding.ML.Activities?

A) Intelligent Keyword Classifier Trainer, Language Based Classifier Trainer, and Image Based Classifier Trainer.
B) Machine Learning Classifier Trainer, Language Based Classifier, and Keyword Based Classifier Trainer.
C) Image Based Classifier Trainer, Format Based Classifier Trainer, and Machine Learning Classifier Trainer.
D) Keyword Based Classifier Trainer, Intelligent Keyword Classifier Trainer, and Machine Learning Classifier Trainer.

Solutions: