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GIAC Machine Learning Engineer Sample Questions (Q68-Q73):
NEW QUESTION # 68
What is the scikit-learn library in Python best used for?
Response:
- A. Large-scale data processing
- B. Machine learning model development
- C. Advanced data visualization
- D. High-performance computing
Answer: B
NEW QUESTION # 69
When scraping web data for machine learning, which of the following should you consider to ensure data quality?
Response:
- A. Avoiding the use of any API
- B. Scraping only structured data
- C. Ensuring data is collected regularly and follows copyright laws
- D. Collecting as much data as possible without validation
Answer: C
NEW QUESTION # 70
You are using a CNN to classify images in a dataset. After several epochs of training, you notice that the model performs well on the training set but poorly on the validation set. This suggests overfitting.
What steps should you take to improve the generalization of the model?
Response:
- A. Remove padding to simplify the architecture
- B. Reduce the size of the dataset and increase the number of convolutional layers
- C. Implement dropout in the fully connected layers, apply data augmentation to increase the variability of the training data, and consider early stopping to prevent overfitting
- D. Train the model for more epochs and reduce the use of regularization
Answer: C
NEW QUESTION # 71
Which of the following statements about frequency distribution is correct?
Response:
- A. It provides a method to reduce dimensionality
- B. It predicts future data points based on historical data
- C. It measures the median of the dataset
- D. It displays how frequently different values occur in a dataset
Answer: D
NEW QUESTION # 72
In machine learning, what is 'model validation'?
Response:
- A. The process of training the model
- B. The practice of combining multiple models
- C. The method of improving the model's performance
- D. The technique of testing the model on unseen data
Answer: D
NEW QUESTION # 73
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