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

1. What is supervised learning?

A) Supervised learning is a machine learning paradigm that refers to algorithms that learn patterns from unlabeled data.There are only input variables, but no corresponding output variables. The goal of the algorithm is to model the underlying structure of the data, but there are no correct answers and no teachers.
B) Supervised learning is a machine learning paradigm in which algorithms try to solve a problem in an uncertain, potentially complex environment only by trial and error and using a system of rewards and punishments.
There are no correct answers, but feedback is given in the form of rewards and penalties.
C) Supervised learning is a machine learning paradigm with the goal of learning a function that maps input variables with output variables.
In every case there is a correct answer, so the aim is to train the model until it reaches an acceptable level of performance in predicting the outcome, at which point the learning stops.
D) Supervised learning is a machine learning paradigm in which algorithms try to solve a problem only by trial and error and using a system of rewards and punishments.
There is no need for labeled input/output pairs to be presented. Instead, the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).

2. When creating a training dataset, what is the recommended number of samples for the Classification fields?

A) 20-50 document samples from each class.
B) 10-20 document samples from each class.
C) 50-200 document samples from each class.
D) 5-10 document samples from each class.

3. In the UiPath Implementation Methodology, which phase involves building the SDD (Solution Design Document)?

A) Solution Design phase
B) Process Design phase
C) Kick-off phase
D) User Acceptance Testing phase

4. What is the difference between the Document Understanding Process and the Document Understanding Framework?

A) 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.
B) 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.
C) 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.
D) 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.

5. What is the role of the Taxonomy Manager?

A) To select the type of ML that can be used in the project.
B) To present a document processing specific user interface for validating and correcting automatic classification outputs.
C) To select which extractors are trained for each document type and field.
D) To create and edit a Taxonomy file specific to the current automation project.

Solutions: