10 free sample questions from a bank of 121, with the correct answers and explanations. No signup required — start practising right now.
1When is it recommended to use Main-ActionCenter in the context of the Document Understanding Process?
When implementing an attended process.
When testing locally or implementing an attended process.
When testing locally.
When testing locally or implementing an unattended process.
Answer: D
2DRAG DROP -
What is the correct execution order of the Document Understanding template stages?
Instructions: Drag the stages found on the "Left" and drop them on the "Right” in the correct order.
Answer:
3What type of error does the red exclamation mark in Validation Station or Action Center throw?
DocumentRejectedByUserException.
RejectedException.
DocumentException.
DocumentRejectedByReviewerException.
Answer: D
4How is the Thread Duration calculated in UiPath Communications Mining's thread analytics?
It is calculated by taking the difference between the timestamps of the first message and the last message sent by the same participant within a thread.
It is calculated by counting the total number of messages in a thread and multiplying it by a fixed amount of time.
It is calculated by taking the time between the first and the last message that was sent in the thread.
It is calculated by taking the difference between the timestamps of the first message and the second message sent in the thread.
Answer: C
5What is the relationship between AI Center and UiPath Document Understanding?
AI Center is the infrastructure on top of which UiPath Document Understanding digitization runs.
AI Center is the infrastructure on top of which UiPath Document Understanding machine learning models run.
Document Understanding is the infrastructure on which AI Center machine learning models run.
Document Understanding is the infrastructure on which AI Center digitization runs.
Answer: B
6Which validation checks are performed for ML packages uploaded with the Enable Training option inactive?
Existence of a non-empty root folder, requirements.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.
Existence of a requirements.txt file, and main.py file which implements a class Main.
The class is further validated to implement an __init__ and a predict function.
Existence of a non-empty root folder, 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.
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.
Answer: A
7What does the feature in the red highlighted box indicate?
A label annotation.
A label's confidence level.
A label prediction.
A label suggestion.
Answer: D
8Which of the following are unstructured documents?
Invoices, receipts, purchase orders, and medical bills.
Banking forms, tax forms, surveys, and identity cards.
Contracts, emails, banking forms, and tax forms.
Contracts, agreements, and emails.
Answer: D
9When creating a training dataset, what is the recommended number of samples for a Column field?
10-20 document samples per column field.
20-50 document samples per column field.
50-200 document samples per column field.
100-200 document samples per column field.
Answer: C
10What additional property does the ML Extractor have compared to the other types of extractors?