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GIAC Machine Learning Engineer Sample Questions:

1. Which method is NOT typically used for data acquisition in machine learning?
Response:

A) SQL queries
B) Manual data entry
C) Neural network predictions
D) Web scraping

2. 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) Train the model for more epochs and reduce the use of regularization
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) Reduce the size of the dataset and increase the number of convolutional layers

3. What is the main purpose of the latent space in an autoencoder?
Response:

A) To serve as a compressed representation of the input data
B) To classify anomalies directly
C) To store weights for model training
D) To generate labels for the dataset

4. What is the purpose of a validation set in machine learning?
Response:

A) To fine-tune the model's hyperparameters
B) To prevent overfitting
C) To train the model
D) To test the model on unseen data

5. What is the purpose of the backpropagation algorithm in neural networks?
Response:

A) To update the model parameters based on the error gradient
B) To initialize weights and biases
C) To generate the final predictions from the model
D) To prevent overfitting in the model

Solutions: