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GIAC Machine Learning Engineer Sample Questions:

1. What is the main use of the NumPy library in Python for machine learning?
Response:

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

2. 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) Manually review the email to classify it as spam or not
B) Ignore the likelihoods and use only the prior probability
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) Use the frequency of keywords only in spam emails to calculate the probability

3. In machine learning, what is 'data normalization'?
Response:

A) Dividing the dataset into training and test sets
B) Scaling numeric features to a standard range
C) Encoding categorical variables into numerical values
D) Removing duplicate records from the dataset

4. Which of the following is the median of the dataset {3, 7, 9, 12, 15}?
Response:

A) 12
B) 7
C) 9
D) 15

5. In a regression model, what is the purpose of the error term?
Response:

A) To classify new data points
B) To measure the accuracy of a decision tree
C) To calculate the probability of an event
D) To represent the difference between the observed and predicted values

Solutions: