최신UiPath Specialized AI Associate Exam (2023.10) - UiPath-SAIAv1무료샘플문제

A. System.TimeSpan

B. System.DateTime

C. String

D. Integer

A. If it has not been modified within the last 24 hours.

B. If it is not being used in any active pipeline.

C. There are no restrictions in editing a dataset.

D. If it is not linked to any data labeling session.

A. Permits the creation of ML models, their improvement and their consumption within RPA workflows in Studio.

B. Allows human intervention for validating the classification results or the extraction results from different documents.

C. Allows the deployment, management and improvement of ML models and their consumption within RPA workflows in Studio.

D. Enables the creation of ML packages and allows their consumption within RPA workflows.

A. UiPath Process Mining.

B. UiPath Document Understanding.

C. UiPath Communications Mining.

D. UiPath Task Mining.

A. Inspecting data at a certain point during debugging by evaluating variables, arguments, or statements.

B. Modifying the values of variables and arguments at runtime during the debugging process.

C. Displaying the next activity to be executed and its parent containers when the project is paused in debugging.

D. Displaying the performance analysis of all the operations, showing the execution time of each activity.

A. For every 100 messages, 20 would be labelled correctly as 'Label X', and 80 would be labelled incorrectly.

B. For every 100 messages, 80 would be labelled correctly as 'Label X', and 20 would be labelled incorrectly.

C. For every 100 messages which should have been labelled as 'Label X', 80 were labelled and 20 were missed.

D. For every 100 messages which should have been labelled as 'Label X\ 20 were labelled and 80 were missed.

A. Name, description, and labels.

B. Name and labels.

C. Name, description, and permissions.

D. Name and description.

A. Each parent label should have at least 3 children labels to ensure specificity.

B. Each label should overlap sliqhtlv with a few distinct others so we ensure 100% coveraqe.

C. Each label should be identifiable from the text of the individual verbatim (not thread) to which it will be applied.

D. Each label should include customer experience/sentiment analysis in its coverage.

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 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.

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 noteachers.

D. 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 ofrewards and punishments.There are no correct answers, but feedback is given in the form of rewards and penalties.