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GIAC Machine Learning Engineer Sample Questions:

1. Which of the following is commonly used to prevent overfitting in deep neural networks?
Response:

A) Increasing the number of hidden layers
B) Increasing the learning rate
C) Using dropout during training
D) Decreasing the dataset size

2. What is Random Forest an example of?
Response:

A) A reinforcement learning technique
B) An ensemble learning method
C) A neural network architecture
D) A clustering algorithm

3. What is the role of the centroid in the k-means clustering algorithm?
Response:

A) It is the geometric center of a cluster, representing the mean of the data points in that cluster
B) It is the point that minimizes the error in each cluster
C) It represents the boundary between two clusters
D) It serves as the initial seed for the clustering process

4. What does the term 'boosting' refer to in the context of machine learning algorithms?
Response:

A) Sequentially building models to correct the errors of previous ones
B) Decreasing the computational complexity of models
C) Both B and C
D) Combining several weak models to form a strong model

5. What does 'root mean squared error' (RMSE) measure in regression models?
Response:

A) The variance explained by the model
B) The average of the absolute errors
C) The standard deviation of the residuals
D) The square root of the average of squared differences between prediction and actual observa

Solutions: