Adding missed labels helps improve the label precision and recall in UiPath Communications Mining. Precision is the percentage of correctly labeled verbatims out of all the verbatims that have the label applied, while recall is the percentage of correctly labeled verbatims out of all the verbatims that should have the label applied. By adding missed labels, you are increasing the recall of the label, as you are reducing the number of false negatives (verbatims that should have the label but do not). This also improves the precision of the label, as you are reducing the noise in the data and making the label more informative and consistent. Adding missed labels is one of the recommended actions that the platform suggests to improve the model rating and performance of the labels.
References: Communications Mining - Training using ‘Check label’ and ‘Missed label’, Communications Mining - Model Rating
Question 2
How should the data be managed after extraction in the UiPath Document Understanding process?
Options:
A.
Directly pass the extracted data to other processes via Arguments.
B.
Serialize the data and store it in a storage bucket or similar location.
C.
Store the data temporarily in local folders before processing.
D.
Keep the data only in the queue items without serialization.
Answer:
B
Explanation:
After the data is extracted using the UiPath Document Understanding framework, it is crucial to handle the data securely and efficiently for further use in other processes or storage. Serialization is often used to convert the extracted data into a format suitable for storage or transmission. By serializing the data, it can be stored in storage buckets (such as cloud storage or a database) and accessed later as needed for subsequent processing. This approach ensures that data is preserved, secure, and available for other workflows or automations.
When is it recommended to use Main-ActionCenter in the context of the Document Understanding Process?
Options:
A.
When implementing an attended process.
B.
When testing locally or implementing an attended process.
C.
When testing locally.
D.
When testing locally or implementing an unattended process.
Answer:
B
Explanation:
Main-ActionCenter is a workflow that allows you to create and manage Document Understanding actions in Action Center, which is a web application that enables human intervention in automation processes. You can use Main-ActionCenter when you want to test your Document Understanding process locally, or when you want to implement an attended process that requires human validation or classification of documents. Main-ActionCenter is not recommended for unattended processes, as they do not involve human interaction.
References: Action Center - Document Understanding activities, Document Understanding Process 22.10 now in General Availability!, How to Start a UiPath Document Understanding Project