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UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q100-Q105):
NEW QUESTION # 100
How long does the typical Machine Learning model deployment process take in UiPath AI Center?
- A. Less than 5 minutes.
- B. Between 5 and 10 minutes.
- C. Between 10 and 15 minutes.
- D. More than 15 minutes.
Answer: C
Explanation:
The typical machine learning model deployment process in UiPath AI Center usually takes between 10-15 minutes1. This process involves wrapping the model in UiPath's serving framework and deploying it within a namespace on AI Fabric's Kubernetes cluster that is only accessible by your tenant1. Please note that the actual time may vary depending on the complexity of the model and other factors.
AI Center - Managing ML Skills (uipath.com)
NEW QUESTION # 101
What actions can be performed on a pipeline which is in the running state?
- A. Kill, remove, and restart.
- B. Remove and kill.
- C. Remove and restart.
- D. Kill.
Answer: D
Explanation:
When a pipeline is in the running state in UiPath AI Center, the only action that can be performed is to Kill it.
This terminates the process immediately, stopping any further processing. Actions like removing or restarting the pipeline can only be performed after the pipeline has stopped.(Source: UiPath Pipeline documentation
NEW QUESTION # 102
What are the two main data extraction methodologies used in document understanding processes?
- A. Hybrid and manual data extraction.
- B. Rule-based and model-based data extraction.
- C. Manual and model-based data extraction.
- D. Rule-based and hybrid data extraction.
Answer: B
NEW QUESTION # 103
What is supervised learning?
- A. 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. - B. 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). - 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 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.
Answer: A
Explanation:
Supervised learning is one of the most popular and widely used machine learning approaches. It involves providing the algorithm with labeled input/output pairs, which serve as examples of the desired behavior or outcome. The algorithm then learns a function that can generalize from these examples and make predictions for new, unseen data. Supervised learning can be used for tasks such as classification, regression, and anomaly detection. Some common supervised learning algorithms are linear regression, logistic regression, decision trees, support vector machines, and neural networks.
References:
* UiPath AI Fabric - Machine Learning Concepts
* UiPath Document Understanding - Machine Learning Models
* UiPath Communications Mining - Overview
NEW QUESTION # 104
What is Document Understanding?
- A. A solution for the processing of Excel files for extracting data tables.
- B. A solution for combining different approaches to extract entities from Word documents such as contracts and agreements.
- C. A solution that offers the ability to digitize, extract, validate, and train data from documents.
- D. A solution for combining different approaches to extract information from workflows.
Answer: C
NEW QUESTION # 105
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