A00-406 試験問題を無料オンラインアクセス

In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?

• A.To compare models' performance in terms of sensitivity and specificity
• B.To measure feature importance
• C.To evaluate the mean squared error of a model
• D.To visualize data distribution

Given the following properties for a neural network model, which statement is true regrading hidden units in the model? The following SAS program is submitted:

• A.The number of hidden units is 26.
• B.The number of hidden units is 1.
• C.There are no hidden units in the model.
• D.The number of hidden units is 50.

What does "feature selection" refer to in the context of model building?

• A.The creation of synthetic features from existing data
• B.The process of choosing the most relevant variables (features) for the model
• C.The visualization of data distribution
• D.The evaluation of model accuracy

What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?

• A.They are not suitable for large datasets.
• B.They require minimal data preprocessing.
• C.They combine multiple models to improve predictive performance.
• D.They are simple and easy to interpret.

What is a data lake?

• A.A specialized database for time-series data
• B.A centralized repository for storing all structured and unstructured data at any scale
• C.A backup system for relational databases
• D.A data storage solution designed for high-speed data retrieval