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GIAC Machine Learning Engineer Sample Questions:

1. In a CNN, what is the purpose of the pooling layer?
Response:

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

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

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

3. P-values in hypothesis testing are used to:
Response:

A) Estimate the probability of observing the data given the null hypothesis is true
B) Determine the practical significance of results
C) Visualize the distribution of data
D) Calculate the mean of the data sample

4. Which metric is commonly used to evaluate the performance of a classification model?
Response:

A) Mean Absolute Error (MAE)
B) R-squared
C) Root Mean Squared Error (RMSE)
D) Accuracy

5. What is the main challenge in determining the optimal number of clusters for a k-means algorithm?
Response:

A) It requires a predefined number of clusters, which may not reflect the true structure of the data
B) It depends on the amount of training data
C) It increases the computational complexity
D) It needs feature scaling before clustering

Solutions: