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GIAC Machine Learning Engineer Sample Questions (Q85-Q90):

NEW QUESTION # 85
P-values in hypothesis testing are used to:
Response:

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

Answer: B

NEW QUESTION # 86
What is the purpose of a validation set in machine learning?
Response:

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

Answer: D

NEW QUESTION # 87
What is the main challenge in determining the optimal number of clusters for a k-means algorithm?
Response:

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

Answer: B

NEW QUESTION # 88
What is the t-test a statistical method used for in machine learning?
Response:

A. Reducing the dimensionality of the dataset
B. Classifying data into different categories
C. Determining if there is a significant difference between the means of two groups
D. Visualizing the distribution of data

Answer: C

NEW QUESTION # 89
In a fully connected neural network, what is the primary role of the activation function?
Response:

A. To introduce non-linearity into the model
B. To reduce overfitting
C. To optimize the learning rate
D. To compute the error

Answer: A

NEW QUESTION # 90
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