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GIAC Machine Learning Engineer Sample Questions:

1. In deep learning, 'dropout' is a technique used to:
Response:

A) Speed up computations
B) Increase model accuracy
C) Reduce data dimensionality
D) Prevent overfitting

2. You are building a deep neural network model for image classification, but after training for several epochs, you notice the model is overfitting, with significantly better performance on the training data than the validation data.
What strategies should you apply to reduce overfitting and improve the model's generalization?
Response:

A) Reduce the batch size and learning rate
B) Disable regularization techniques and focus on increasing the dataset size
C) Increase the number of hidden layers and train the model for more epochs
D) Apply dropout, reduce the number of neurons in each layer, and consider early stopping to prevent overfitting

3. What is the primary goal of supervised learning?
Response:

A) To group similar data points without labeled outputs
B) To learn a function that maps input data to known output labels
C) To identify hidden patterns in data without guidance
D) To cluster data into predefined categories

4. 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

5. Which of the following is the median of the dataset {3, 7, 9, 12, 15}?
Response:

A) 7
B) 9
C) 12
D) 15

Solutions: