UiPath UiPath-SAIv1 : UiPath Certified Professional Specialized AI Professional v1.0

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UiPath UiPath-SAIv1 Exam Syllabus Topics:

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

1. What are the out-of-the-box packages types available in Al Center?

A) Pre-trained. fine-tunable, and reviewed.
B) Pre-trained. custom training, and fine-tunable.
C) Pre-trained, custom training, and reviewed.
D) Custom training, fine-tunable, and reviewed.

2. What is the name of the web application that allows users to prepare, review, and make corrections to datasets required for Machine Learning models?

A) Digitization.
B) Data Manager.
C) Document Manager.
D) ML Extractor.

3. What is supervised learning?

A) Supervised learning is a machine learning paradigm in which algorithms try to solve a problem only by trial and error and using a system of rewards and punishments.
There is no need for labeled input/output pairs to be presented. Instead, the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).
B) Supervised learning is a machine learning paradigm in which algorithms try to solve a problem in an uncertain, potentially complex environment only by trial and error and using a system of rewards and punishments.
There are no correct answers, but feedback is given in the form of rewards and penalties.
C) Supervised learning is a machine learning paradigm that refers to algorithms that learn patterns from unlabeled data.There are only input variables, but no corresponding output variables. The goal of the algorithm is to model the underlying structure of the data, but there are no correct answers and no teachers.
D) Supervised learning is a machine learning paradigm with the goal of learning a function that maps input variables with output variables.
In every case there is a correct answer, so the aim is to train the model until it reaches an acceptable level of performance in predicting the outcome, at which point the learning stops.

4. Which is a high-level view of the tabs within an AI Center project?

A) Datasets, Data Labeling. ML Packages, ML Training, ML Evaluation, ML Skills, and ML Logs.
B) Datasets. Data Labeling. ML Packages. Pipelines, and ML Skills.
C) Dashboard. Datasets, Data Labeling. ML Packages. Pipelines, ML Skills, and ML Logs.
D) Dashboard. Datasets. ML Packages. ML Training. ML Evaluation, and ML Logs.

5. How are UiPath RPA and AI Center used for process improvement?

A) UiPath RPA and AI Center work together in process improvement by leveraging RPA capabilities to automate repetitive tasks and integrating AI Center to enhance decision-making and cognitive abilities.RPA bots can collect data, perform actions, and feed information to ML models in AI Center, which in turn can analyze the data and make predictions.
B) UiPath RPA and AI Center work together in process improvement by utilizing RPA bots to execute models deployed in Action Center that can be monitored in Insights. The ML models process data and generate insights, which are then used by the RPA bots to make informed decisions and carry out automated actions.
C) UiPath RPA and AI Center are independent tools that do not work together in process improvement.
RPA focuses on task automation, while AI Center is primarily used for training and deploying machine learning models.
D) UiPath RPA and AI Center have overlapping functionalities, so they are not designed to work together in process improvement. Each tool serves different purposes and is used independently to achieve automation and AI capabilities, respectively.

Solutions: