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GIAC Machine Learning Engineer Sample Questions:

1. Stochastic Gradient Descent differs from traditional Gradient Descent by:
Response:

A) Eliminating the need for a learning rate
B) Updating model parameters after evaluating the entire dataset
C) Updating model parameters after evaluating each data point
D) Using a fixed learning rate throughout the training process

2. What is the main purpose of the latent space in an autoencoder?
Response:

A) To generate labels for the dataset
B) To classify anomalies directly
C) To store weights for model training
D) To serve as a compressed representation of the input data

3. What is the t-test a statistical method used for in machine learning?
Response:

A) Determining if there is a significant difference between the means of two groups
B) Visualizing the distribution of data
C) Reducing the dimensionality of the dataset
D) Classifying data into different categories

4. In machine learning, what does 'model generalization' mean?
Response:

A) Simplifying the model to make it more interpretable
B) Combining multiple models to improve performance
C) Increasing the number of features in the model
D) The model's ability to perform well on new, unseen data

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

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

Solutions: