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最新的 SAS Certified Specialist A00-406 免費考試真題:

1. What is the significance of the "bias-variance trade-off" in machine learning?

A) It refers to the trade-off between the number of features and the model's complexity.
B) It indicates the trade-off between accuracy and precision.
C) It represents the trade-off between underfitting and overfitting.
D) It is not relevant in machine learning.

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

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

3. What is the primary purpose of "continuous integration and continuous deployment" (CI/CD) in the context of model deployment?

A) To visualize data distribution
B) To create synthetic data
C) To evaluate the model's accuracy
D) To automate the testing, integration, and deployment of new model versions

4. What is the primary goal of hyperparameter tuning during model building?

A) To optimize the settings that control the model's learning process
B) To add more features to the model
C) To increase model complexity
D) To improve data preprocessing techniques

5. Which feature extraction method can take both interval variables and class variables as inputs?

A) Principal component analysis
B) Singular value decomposition
C) Robust PCA
D) Autoencoder

問題與答案：