What events are recorded when a pipeline starts or fails?
A. Pipeline Events.
B. ML Package Validation Events.
C. ML Skill Deployment Events.
D. Dataset Events.
What does a UiPath Communications Mining taxonomy include?
A. Entities and datasets.
B. Verbatims, labels, and entities.
C. Labels and sources.
D. Labels and entities.
What is unsupervised learning?
A. Unsupervised 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. Unsupervised 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.
C. Unsupervised 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.
D. Unsupervised 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.
Which of these statements is true about precision and recall statistics for specific labels in UiPath Communications Mining precision?
A. The label precision and recall statistics are determined by the model's rating.
B. The label precision and recall statistics are determined by the confidence threshold.
C. The label precision and recall statistics are determined by the mean average precision (MAP).
D. The label precision and recall statistics are determined by the model's coverage.
What is important regarding entities when working with UiPath Communications Mining and training using Clusters?
A. If there are no entity predictions for a cluster, skip that cluster.
B. Accept or dismiss entity predictions or manually assign entities that are not predicted.
C. Entity predictions are never made for clusters.
D. Training entities is not recommended during this phase.
Which of the following scores is used to determine a UiPath Communications Mining model's Balance?
A. F1 Score.
B. Similarity Score.
C. Mean Average Precision (MAP) Score.
D. Mean Precision at Recall Score.
Which of the following is a golden rule for applying labels in UiPath Communications Mining?
A. Apply labels sparingly to ensure better performance.
B. Add all labels that apply to a communication.
C. Apply labels based primarily on keywords linked to label names.
D. Apply labels based on the text of communications earlier in the conversation.
As a best practice, who should perform the data labeling?
A. Data Scientists.
B. Business Analysts.
C. Subject Matter Experts.
D. Automation RPA Developers.
When does UiPath Communications Mining charge AI units?
A. When comments are uploaded or updated on the platform.
B. When model training occurs.
C. When using the automation framework to consume predictions from a stream.
D. When pinning a new model version.
When training a model in UiPath Communications Mining, what is the recommended rating if we want to enable downstream automations?
A. Excellent.
B. Average.
C. Good.
D. Poor.
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