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GIAC Machine Learning Engineer Sample Questions (Q127-Q132):

NEW QUESTION # 127
What role does 'dropout' play in training deep neural networks?
Response:

• A. It increases the accuracy of the model on the training data
• B. It helps prevent overfitting by randomly dropping units during training
• C. It introduces non-linearity into the model
• D. It accelerates the training process

Answer: B

NEW QUESTION # 128
In machine learning, what is the primary goal of optimization algorithms?
Response:

• A. To improve the accuracy of predictions
• B. To enhance data visualization techniques
• C. To reduce the computational complexity
• D. To increase data storage efficiency

Answer: A

NEW QUESTION # 129
In deep learning, 'dropout' is a technique used to:
Response:

• A. Speed up computations
• B. Increase model accuracy
• C. Prevent overfitting
• D. Reduce data dimensionality

Answer: C

NEW QUESTION # 130
Which of the following statements about frequency distribution is correct?
Response:

• A. It displays how frequently different values occur in a dataset
• B. It provides a method to reduce dimensionality
• C. It predicts future data points based on historical data
• D. It measures the median of the dataset

Answer: A

NEW QUESTION # 131
In the context of deep learning, what is a 'convolutional layer' primarily used for?
Response:

• A. To classify input data into different categories
• B. To accelerate the training process of the network
• C. To reduce the size of the neural network
• D. To extract features from input data like images

Answer: D

NEW QUESTION # 132
......

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