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GIAC Machine Learning Engineer Sample Questions:

1. 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

2. Which component of a CNN is responsible for learning the spatial hierarchies of features in an image?
Response:

A) Dropout layer
B) Fully connected layer
C) Activation function
D) Convolutional layer

3. You are tasked with collecting data from an external API for use in a machine learning model. After making several requests, you notice that the data contains missing values and inconsistencies across different records. What steps should you take to clean and prepare this data for further analysis and modeling?
Response:

A) Ignore the inconsistencies and proceed directly to model training
B) Identify and remove records with missing values, apply data normalization techniques, and ensure data consistency before model training
C) Collect additional data from a different source without fixing the original dataset
D) Focus on fixing inconsistencies only in the training data, ignoring the test data

4. Which of the following functions is used to calculate loss in a neural network during training?
Response:

A) Softmax function
B) Activation function
C) Dropout function
D) Loss function

5. Unsupervised learning is primarily used for:
Response:

A) Classification tasks with predefined categories
B) Finding hidden patterns in unlabeled data
C) Predicting outcomes based on labeled data
D) Regression analysis with continuous output

Solutions: