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GIAC Machine Learning Engineer Sample Questions:

1. Which Python library is most commonly used for data manipulation in machine learning?
Response:

A) Pandas
B) Scikit-learn
C) Matplotlib
D) TensorFlow

2. What are correlation matrices useful for in data exploration and visualization?
Response:

A) Visualizing geographical data
B) Determining the accuracy of a model
C) Understanding relationships between pairs of variables
D) Identifying missing data

3. Which of the following are advantages of using Support Vector Machines (SVM) for classification tasks?
(Choose two )
Response:

A) Is highly interpretable and easy to visualize
B) Performs well with large amounts of missing data
C) Works well when there is a clear margin of separation between classes
D) Effective in high-dimensional spaces

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

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

5. What are heatmaps used for in data visualization?
Response:

A) Showing the relationship between two variables
B) Representing the magnitude of phenomena as color in two dimensions
C) Plotting data over time
D) Displaying geographical data

Solutions: