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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 locally, and requires manual download of all the resources and then loading them into the node.
B) Enables the deployment, management, and improvement of ML models on UiPath Automation Cloud, and requires no infrastructure and no maintenance.
C) 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.
D) 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.

2. What does Data Extraction do?

A) Applies rules for validating that the information extracted from a document is correct.
B) Identifies and extracts specific information that should be processed.
C) Identifies words and their coordinates from images and PDFs.
D) Digitizes the document that should be processed.

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

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

4. Considering the Process Design phase, what should be Taken into consideration as a best practice when creating the scope for the automation?

A) Document Types. Taxonomy. Languages. Success Criteria. OCR, ML Model.
B) Document Types. Taxonomy. Templates. Languages. Scans/Digital docs, Success Criteria. Technical Criteria.
C) Document Types. Technical Criteria, Templates. Languages, Scans/Digital docs, OCR quality.
D) Document Types. Templates. Technical Criteria. Languages. Scans/Digital docs. Success Criteria. OCR engines.

5. Which validation checks are performed for ML packages uploaded with the Enable Training option inactive?

A) Existence of a requirements.txt file, and main.py file which implements a class Main. The class is further validated lo implement an__init__and a predict function.
B) Existence of a non-empty root folder, main.py file in the root folder which implements a dass Main.
The class is further validated to implement an__init__and a predict function.
C) Existence of a non-empty root folder, requlrements.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.
D) 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.

Solutions: