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GIAC Machine Learning Engineer Sample Questions (Q11-Q16):

NEW QUESTION # 11
In a CNN, what is the purpose of the pooling layer?
Response:

A. To combine features and reduce the dimensionality of the data
B. To add non-linearity to the model
C. To normalize the input data
D. To increase the resolution of the input image

Answer: A

NEW QUESTION # 12
In the context of deep learning, what is a 'convolutional layer' primarily used for?
Response:

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

Answer: C

NEW QUESTION # 13
What does the term 'hyperparameter tuning' refer to?
Response:

A. Adjusting the model parameters based on training data
B. Reducing the number of parameters in a neural network
C. Selecting the optimal learning rate for training
D. Choosing the best set of parameters for the learning algorithm

Answer: D

NEW QUESTION # 14
Which of the following best describes Bayes' Theorem?
Response:

A. A formula used to predict future events based on historical data
B. A statistical technique to visualize data
C. A method for calculating the mean of a dataset
D. A method to calculate the probability of an event based on prior knowledge of related conditions

Answer: D

NEW QUESTION # 15
Which of the following best describes standard deviation?
Response:

A. It represents the most frequent value in a dataset
B. It measures the spread of data points from the mean
C. It is the difference between the largest and smallest values
D. It is the average of all the values in the dataset

Answer: B

NEW QUESTION # 16
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