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GIAC Machine Learning Engineer Sample Questions:

1. Which of the following functions is used to calculate loss in a neural network during training?
Response:

A) Loss function
B) Dropout function
C) Softmax function
D) Activation function

2. What is the role of padding in a convolutional layer?
Response:

A) To prevent overfitting
B) To preserve the spatial dimensions of the input data
C) To normalize the inputs
D) To increase the number of parameters in the model

3. What is the primary goal of supervised learning?
Response:

A) To group similar data points without labeled outputs
B) To identify hidden patterns in data without guidance
C) To learn a function that maps input data to known output labels
D) To cluster data into predefined categories

4. You are building a deep neural network model for image classification, but after training for several epochs, you notice the model is overfitting, with significantly better performance on the training data than the validation data.
What strategies should you apply to reduce overfitting and improve the model's generalization?
Response:

A) Disable regularization techniques and focus on increasing the dataset size
B) Increase the number of hidden layers and train the model for more epochs
C) Reduce the batch size and learning rate
D) Apply dropout, reduce the number of neurons in each layer, and consider early stopping to prevent overfitting

5. What does the learning rate primarily affect in neural network training?
Response:

A) The number of layers in the network
B) The speed at which the network learns
C) The size of the input data
D) The type of function the network can learn

Solutions: