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GIAC Machine Learning Engineer Sample Questions:

1. Which metric is commonly used to evaluate the performance of a classification model?
Response:

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

2. What is 'natural language processing' (NLP) in the context of machine learning?
Response:

A) The field that focuses on the interaction between computers and human language
B) A technique for training models on time-series data
C) The process of converting text data into numerical data
D) A method for improving the accuracy of neural networks

3. Which method is NOT typically used for data acquisition in machine learning?
Response:

A) SQL queries
B) Neural network predictions
C) Web scraping
D) Manual data entry

4. What is the primary purpose of clustering in unsupervised machine learning?
Response:

A) To reduce the dimensionality of the data
B) To group similar data points without predefined labels
C) To predict future data points based on historical data
D) To improve the accuracy of supervised learning models

5. What is the main use of the 'sigmoid' activation function in neural networks?
Response:

A) To introduce non-linearity into the model
B) To normalize the input data
C) To transform the output into a probability
D) To speed up the training process

Solutions: