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GIAC Machine Learning Engineer Sample Questions:

1. What is the main goal of cluster analysis in unsupervised learning?
Response:

A) Find the mean of a dataset
B) Predict the outcome of a dependent variable
C) Reduce the dimensionality of data
D) Group similar data points together

2. Which of the following are common supervised learning algorithms?
(Choose two)
Response:

A) k-means
B) DBSCAN
C) Random Forest
D) Linear Regression

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) Calculate the mean of the data sample
C) Visualize the distribution of data
D) Determine the practical significance of results

4. What does 'one-hot encoding' do in the preprocessing of categorical data?
Response:

A) It identifies and removes outliers
B) It converts categorical variables into binary vectors
C) It reduces the dimensionality of the data
D) It scales all features to a uniform range

5. What does Bayes' Theorem provide in the context of machine learning?
Response:

A) A technique for visualizing data distributions
B) A method for calculating the likelihood of different hypotheses
C) A mechanism for speeding up computations
D) A strategy for optimizing neural networks

Solutions: