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GIAC Machine Learning Engineer Sample Questions:

1. Which of the following are common activation functions used in neural networks?
(Choose two)
Response:

A) Sigmoid function
B) ReLU (Rectified Linear Unit)
C) Weight initialization
D) Batch normalization

2. Which algorithm is best suited for handling time-series data?
Response:

A) Recurrent Neural Networks
B) Convolutional Neural Networks
C) Decision Trees
D) K-Means Clustering

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

4. What is Principal Component Analysis (PCA) a technique used for in unsupervised learning?
Response:

A) Improving the accuracy of classification models
B) Reducing the dimensionality of data
C) Clustering similar data points
D) Predicting future trends in data

5. What is the Fourier Series used for in data science?
Response:

A) To determine the probability of an event
B) To calculate the mean of the dataset
C) To break down periodic functions into sums of sine and cosine terms
D) To generate random numbers for a model

Solutions: