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UiPath UiPath-SAIv1 Exam Syllabus Topics:

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

1. If Label X in UiPath Communications Mining has 80% precision at a given confidence threshold, what output should this provide?

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 which should have been labelled as 'Label X\ 20 were labelled and 80 were missed.
C) For every 100 messages, 20 would be labelled correctly as 'Label X', and 80 would be labelled incorrectly.
D) For every 100 messages, 80 would be labelled correctly as 'Label X', and 20 would be labelled incorrectly.

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

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

3. Which validation checks are performed for ML packages uploaded with the Enable Training option inactive?

A) Existence of a non-empty root folder, requlrements.txt file, and main.py file in the root folder which implements a class Main. The class is further validated to implement an__init and a predict function.
B) Existence of a requirements.txt file, and main.py file which implements a class Main. The class is further validated lo implement an__init__and a predict function.
C) Existence of a non-empty root folder, main.py file in the root folder which implements a dass Main.
The class is further validated to implement an__init__and a predict function.
D) Existence of a non-empty root folder, requirements.txt file, and train.py file in the root folder which implements a class Main. The class is further validated to implement an__init_function.

4. Which of the following is a characteristic of a poorly-performing model in UiPath Communications Mining?

A) Many of the labels in the taxonomy have amber or red performance warnings.
B) The model makes correct predictions across the majority of the dataset.
C) 2% of the dataset has been reviewed by a model trainer.
D) All of the labels in the dataset have at least 25 training examples.

5. A project contains a Try Catch activity in the "Main.xaml" workflow. In the Catches block, there is a Rethrow activity. The process is started from Orchestrator and an exception is caught in the Try section. What is the expected result?

A) Job is completed with a "Successful" state.
B) Job is completed with a "Stopped" state.
C) Exception Pop-up is displayed on the robot machine.
D) Job is completed with a "Faulted" state.

Solutions: