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GIAC Machine Learning Engineer Sample Questions:

1. In machine learning, what is a 'Support Vector Machine' (SVM) primarily used for?
Response:

A) Classification and regression tasks
B) Dimensionality reduction and feature extraction
C) Time-series forecasting and sequence prediction
D) Clustering and grouping similar data points

2. What role does 'batch size' play in training neural networks?
Response:

A) It adjusts the learning rate of the model
B) It sets the total number of training iterations
C) It determines the maximum number of features used in the model
D) It specifies the number of training examples used in one iteration

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

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

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

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

5. In machine learning, what does 'pruning' a decision tree involve?
Response:

A) Removing branches to reduce complexity and overfitting
B) Increasing the depth of the tree
C) Adding more branches to the tree
D) Splitting the tree into multiple smaller trees

Solutions: