A00-406 무료 덤프문제 온라인 액세스

Which machine learning technique is typically used for building a model to predict a numeric target variable?

• A.Classification
• B.Regression
• C.Dimensionality reduction
• D.Clustering

What is overfitting in machine learning, and how can it be addressed in a pipeline?

• A.Overfitting occurs when the model fits the training data too closely and may not generalize well. It can be addressed by regularization techniques.
• B.Overfitting occurs when the model is too complex and overperforms.
• C.Overfitting occurs when the model is too simple and underperforms.
• D.Overfitting is not a concern in machine learning pipelines.

In model assessment, what does "cross-validation" aim to address?

• A.Model deployment
• B.Training a model
• C.Overfitting and generalization
• D.Data preprocessing

Which hyperparameter in a decision tree model controls the depth of the tree and helps prevent overfitting?

• A.Max depth
• B.Max features
• C.Learning rate
• D.Min samples split

What is "model retraining" in the context of model deployment?

• A.The process of data preprocessing
• B.The process of building the initial model
• C.The process of feature selection
• D.Periodically updating and improving a deployed model with new data