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UiPath UiPath-SAIv1 Exam Syllabus Topics:

UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions:

1. What does the Automation Suite installer enable?

A) Enables the deployment, management, and improvement of ML models on UiPath Automation Cloud, and requires no infrastructure and no maintenance.
B) Enables the deployment of the full UiPath Automation Platform in the environment of choice and contains everything in one package that can be deployed in multi-node mode with automatic scaling and built-in HA. monitor, configure, and upgrade.
C) Enables the deployment, management, and improvement of ML models locally, and requires manual download of all the resources and then loading them into the node.
D) Enables the deployment, management, and improvement of ML models locally with easy installation due to the automatic retrieval of the installer and associated artifacts from the internet.

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

A) Business Analysts.
B) Subject Matter Experts.
C) Data Scientists.
D) Automation RPA Developers.

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

A) Access detailed, quervable charts, statistics, and customizable dashboards.
B) Monitor model performance and receive recommendations.
C) View, save, and modify dataset model versions.
D) Train models using unsupervised learning.

4. What can the Sentiment Analysis out-of-the-box model be used for?

A) Relate customer questions to FAQ documents and automatically pull responses from these documents.
B) Extract and classify text in emails, letters, web pages, research papers, and call transcripts.
C) Classify text in resumes, emails, web pages, and other formats.
D) Understand the emotion in product reviews, customer surveys, social media posts, and emails.

5. In UiPath Communications Mining, what does the Reports section contain?

A) Tools for comparing different model versions.
B) Tools for evaluating label and entity performance.
C) Tools for message analytics and monitoring.
D) Tools for evaluating model performance.

Solutions: