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GIAC Machine Learning Engineer Sample Questions (Q27-Q32):

NEW QUESTION # 27
You are working on a classification problem where you are using Bayes' Theorem to predict whether a new email is spam based on specific keywords. You have prior probabilities of an email being spam or not, and likelihoods for certain keywords appearing in spam emails.
How should you use Bayes' Theorem to calculate the posterior probability that the new email is spam?
Response:

A. Use the frequency of keywords only in spam emails to calculate the probability
B. Manually review the email to classify it as spam or not
C. Use the prior probabilities and likelihoods of the keywords appearing in both spam and non-spam emails to calculate the posterior probability that the email is spam
D. Ignore the likelihoods and use only the prior probability

Answer: C

NEW QUESTION # 28
Which metric is commonly used to evaluate the performance of a classification model?
Response:

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

Answer: D

NEW QUESTION # 29
What is the role of padding in a convolutional layer?
Response:

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

Answer: A

NEW QUESTION # 30
Which techniques can help prevent overfitting in Convolutional Neural Networks?
(Choose two)
Response:

A. Early stopping
B. Dropout
C. Max pooling
D. Increasing the number of convolutional layers

Answer: A,B

NEW QUESTION # 31
What is the main use of the NumPy library in Python for machine learning?
Response:

A. Handling large arrays and matrices
B. Text processing
C. Web scraping
D. Data visualization

Answer: A

NEW QUESTION # 32
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