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UIPATH-SAIV1 Online Practice Questions and Answers

Questions 4

Why might labels have bias warnings in UiPath Communications Mining, even with 100% precision?

A. They were trained using the "Search" option extensively.

B. They were trained using the "Shuffle" option extensively.

C. They have low recall.

D. They lack training examples.

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Questions 5

What happens when multiple users try to label the same document concurrently?

A. The changes made by one user override the changes made by others.

B. The changes made by all users are saved successfully.

C. Concurrent labeling is not allowed.

D. A warning message is displayed to the other user(s) indicating unsuccessful changes.

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Questions 6

What does the Label Trends table in UiPath Communications Mining show?

A. How the top 10 labels for a given time period perform compared to the previous period and their change in rank.

B. How the top 10 senders for a given time period perform compared to the previous period and their change in rank.

C. How the top 10 entities for a given time period perform compared to the previous period and their change in rank.

D. How the top 10 labels and entities for a given time period perform compared to the previous period and their change in rank.

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Questions 7

Which of the below is the correct definition of "recall" in UiPath Communications Mining?

A. For a given concept what % of cases will the model incorrectly predict.

B. For a given concept, what % of cases will the model not detect.

C. For a given concept what % of cases will the model correctly predict.

D. For a given concept, what % of cases will the model detect.

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Questions 8

What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?

A. Train models using unsupervised learning.

B. View, save, and modify dataset model versions.

C. Monitor model performance and receive recommendations.

D. Access detailed, queryable charts, statistics, and customizable dashboards.

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Questions 9

What is Computer Vision?

A. The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.

B. A sub-field of artificial intelligence that enables systems to learn from data. Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.

C. An area of machine learning concerned with artificial neural networks. These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimics biological neural networks.

D. A field of artificial intelligence that enables computers to gain high-level understanding from digital images or videos. If AI is the brain, then this is the eye that enables the computer to observe and understand. It works the same as the human eye.

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Questions 10

Which of the following is a golden rule for applying labels in UiPath Communications Mining?

A. Apply labels sparingly to ensure better performance.

B. Add all labels that apply to a communication.

C. Apply labels based primarily on keywords linked to label names.

D. Apply labels based on the text of communications earlier in the conversation.

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Questions 11

As a best practice, who should perform the data labeling?

A. Data Scientists.

B. Business Analysts.

C. Subject Matter Experts.

D. Automation RPA Developers.

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Questions 12

When does UiPath Communications Mining charge AI units?

A. When comments are uploaded or updated on the platform.

B. When model training occurs.

C. When using the automation framework to consume predictions from a stream.

D. When pinning a new model version.

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Questions 13

Which of the following scores is used to determine a UiPath Communications Mining model's Balance?

A. F1 Score.

B. Similarity Score.

C. Mean Average Precision (MAP) Score.

D. Mean Precision at Recall Score.

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Exam Code: UIPATH-SAIV1
Exam Name: UiPath Specialized AI Professional v1.0 (UiSAI)
Last Update: May 28, 2026
Questions: 185
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