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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q221-Q226):
NEW QUESTION # 221
Which of the following is a type of communication that is typically interpreted by UiPath Communications Mining?
- A. Shared email inboxes
- B. Scanned letters
- C. Call data in real-time
- D. Real-time chat data
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
UiPath Communications Mining is designed toprocess and analyze unstructured communicationslike those fromshared email inboxes, support tickets, and text-based messages.
* It uses NLP models to classify, extract, and label insights from communication data, typically from email systems.
* UiPath Documentation Reference:Communications Mining Overview
NEW QUESTION # 222
Which of the following functionalities does UiPath Assistant provide?
- A. Developing automation workflows in UiPath Studio.
- B. Analyzing processes to determine optimal automation solutions.
- C. Running, managing, and organizing automation workflows on the user's machine.
- D. Scheduling and monitoring robot processes in Orchestrator.
Answer: C
Explanation:
Reference: UiPath Assistant
NEW QUESTION # 223
Why is having high coverage important for an automation-focused use case in UiPath Communications Mining?
- A. High coverage on the model means that fewer communications will be sent for manual review and that fewer automatable processes are missed.
- B. High coverage ensures that the software consumes less computational resources, resulting in cost savings for the organization implementing the automation.
- C. With high coverage, you can increase the amount of data provided downstream via Streams.
- D. The higher the coverage, the lower the model's recall, resulting in greater throughput of automatable processes.
Answer: A
Explanation:
In UiPath Communications Mining, high coverage ensures that a larger proportion of communications is classified with meaningful labels, meaning fewer communications are sent for manual review and more processes are captured for automation. This leads to more effective automation, reducing the need for human intervention and ensuring that the automation use case is fully realized.
For more details, refer to:
UiPath Communications Mining Performance Metrics: Coverage and Automation
NEW QUESTION # 224
What is the primary metric used to calculate the score for the All Labels performance factor in UiPath Communications Mining?
- A. Mean Average Precision.
- B. Volume of data uploaded.
- C. Number of labels.
- D. Number of annotations.
Answer: A
Explanation:
The Mean Average Precision (MAP) is the primary metric used in UiPath Communications Mining to assess the performance of classification models, specifically for the "All Labels" factor. MAP evaluates how well the model predicts labels by considering both the precision and recall of the predictions. This metric is commonly used in information retrieval systems to provide an overall measure of accuracy across all labels in the dataset.
(Source: UiPath Communications Mining documentation)
NEW QUESTION # 225
What will be displayed in the Output panel after running the workflow below?
- A. Status is New.
- B. Status is Pending.
- C. Status not valid.
- D. Status is Unknown.
Answer: C
Explanation:
From the provided workflow:
The Assign Status activity sets the variable Status to the value "Approved".
The Check Status activity evaluates the value of Status against defined conditions.
It has branches for "Pending", "New", and "Unknown".
The "Default" branch is triggered if none of these conditions match the value of Status.
Since "Approved" does not match "Pending", "New", or "Unknown", the Default branch will execute.
The Write Line activity in the Default branch outputs "Status not valid." to the Output panel.
NEW QUESTION # 226
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