UiPath UiPath-SAIv1 Practice Exams
Last updated on Apr 07,2025- Exam Code: UiPath-SAIv1
- Exam Name: UiPath Certified Professional Specialized AI Professional v1.0
- Certification Provider: UiPath
- Latest update: Apr 07,2025
As a best practice, who should perform the data labeling?
- A . Data Scientists.
- B . Automation RPA Developers.
- C . Business Analysts.
- D . Subject Matter Experts.
What do entity predictions refer to within UiPath Communications Mining?
- A . The understanding of the parent-label relationship when assigning label predictions.
- B . The difference between label suggestions and label predictions in a training process.
- C . The identification of a specific span of text as a value for a particular entity type.
- D . The model’s confidence that a specific concept exists within a communication.
What are all the types of ML (Machine Learning) models supported by Al Center?
- A . Out-of-the-box models from UiPath and UiPath technology partners.
- B . Out-of-the-box models from UiPath technology partners and custom models.
- C . Out-of-the-box models from UiPath, UiPath technology partners, open-source models from the community, and custom models.
- D . Out-of-the-box models from UiPath technology partners, and open-source models from the community.
Which UiPath product is most suitable for processing invoices?
- A . UiPath Communications Mining.
- B . UiPath Task Mining.
- C . UiPath Process Mining.
- D . UiPath Document Understanding.
Which of the following options contains the correct list of Default actions that can be found in Workflow Analyzer Settings?
- A . Error, Critical, Info, Warning, Verbose
- B . Exception, Info, Warning, Verbose
- C . Error, Info, Warning, Verbose
- D . Fatal, Error, Warning, Info, Trace
What is the primary advantage of the One Click Extraction feature in UiPath’s Document Understanding interface?
- A . It provides a simplified way to manually create Datasets, Pipelines, and Datasets for document extraction.
- B . It automates the creation of document extractors by automatically creating Datasets, Pipelines,
and ML Skills but requires manual creation of Pipelines. - C . It allows training document extractors without manually creating Datasets, Pipelines, and ML Skills in AI Center.
- D . It allows training document extractors without manually creating Datasets and Pipelines, but you need to manually deploy the ML Skills in AI Center.
Who is responsible for devising a strategy to prioritize processes during the Business Case and Technical Validation phase?
- A . Project Manager
- B . Solution Architect
- C . Automation Developer
- D . Business Analyst
Which UiPath Communications Mining model performance factor assesses the proportion of the entire dataset that has informative label predictions?
- A . Average label performance.
- B . Coverage.
- C . Balance.
- D . Underperforming labels.
Which validation checks are performed for ML packages uploaded with the Enable Training option inactive?
- A . 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.
- B . 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.
- C . 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.
- D . 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.
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.