UiPath Certified Professional - General Track Certification UiPath-ABAv1 Reddit Questions

In an UiPath Task Capture diagram, same-screen detection for actions recorded is described by the feature where after finishing the capture process, Task Capture offers to detect actions per all documents that contain similar screenshots and also offers to merge them. The actions can also be manually reviewed prior to merging. This feature ensures that similar actions are grouped, enhancing the clarity and efficiency of the process documentation.References: UiPath Documentation on Task Capture at .

To train a custom Machine Learning (ML) model that includes one custom extra field, it is recommended to use between 20 to 50 document samples. This range provides a sufficient amount of data to ensure the model can learn effectively while accommodating the variability introduced by the additional custom field​

Model Training in UiPath Communications Mining:

TheTrainphase uses various training modes, such as Shuffle, Teach, and Low Confidence, to improve the model’s ability to identify labels, entities, and data patterns​.

Why Option A is Correct:

Shuffle mode randomizes data to avoid biases.

Teach mode allows interactive teaching of the model to understand new patterns.

Low Confidence mode focuses on refining predictions that have low confidence scores, improving accuracy​.

Why Other Options Are Incorrect:

Option B: Discovery pertains to identifying clusters and themes in unstructured data.

Option C: Exploration is not a distinct phase in the training process.

Option D: Refinement happens iteratively but is not the phase explicitly involving training modes​.

By leveraging these training modes, UiPath ensures the model is continuously optimized for better performance in communication mining.

Performer Role: In UiPath’s ReFramework or transactional workflows, the performer process is responsible for consuming transactions from a queue and processing them.

Queue System: It retrieves data from the orchestrator queue and executes the steps defined in the workflow to complete the task.

Complementary to Dispatcher: The dispatcher adds transactions to the queue, while the performer processes them, ensuring a smooth workflow.

Use Cases: Common applications include order processing, invoice handling, and claims management, where a structured input-output sequence is required.

This differentiation is a fundamental concept in UiPath's RPA design principles​​.