The purpose of creating an AS IS process map during the business analysis phase for RPA is to understand the current state of the business process. This mapping is crucial as it provides a detailed visualization of the process as it currently operates, including all steps, decision points, and interactions, which is essential for identifying inefficiencies and areas suitable for automation.
[: UiPath Documentation on Business Analysis at https://docs.uipath.com/., ]
Question # 50
When does a queue item get the 'Deleted' status?
A.
When a transaction has been tried again after failure.
B.
When a transaction is initiated from the queue item.
A queue item’s status changes to “Deleted†only if it is manually deleted from the Orchestrator Queues page. This is a deliberate action by an administrator or user to remove it permanently from the queue.
“The Deleted status indicates that the queue item has been manually deleted from the queue by a user or administrator.â€
[References:, UiPath Orchestrator documentation: Queues and Transactions, UiPath Academy: Orchestrator for Business Analysts modules, , , ]
Question # 51
In which phase of the model training process are the Shuffle, Teach, and Low Confidence training modes used to improve the model performance?
The Train phase 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.