GIAC GMLE : GIAC Machine Learning Engineer

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GIAC Machine Learning Engineer Sample Questions:

1. What is a primary goal of data visualization in machine learning?
Response:

A) To identify patterns and insights in data
B) To reduce the dimensionality of data
C) To optimize the model's performance
D) To replace the need for statistical analysis

2. Which statistics are commonly used to summarize a dataset?
(Choose two)
Response:

A) Mean
B) Confusion matrix
C) Median
D) P-value

3. What is the purpose of a p-value in hypothesis testing?
Response:

A) To determine the probability of observing the data given that the null hypothesis is true
B) To test for multicollinearity
C) To measure the correlation between variables
D) To calculate the mean of a dataset

4. You are building a multiple linear regression model to predict employee salaries based on years of experience, education level, and performance ratings. After training the model, you notice that it is overfitting the training data.
What techniques should you use to reduce overfitting and improve the model's generalization?
Response:

A) Increase the number of features and training epochs
B) Focus only on the most recent data and ignore the training set
C) Apply L2 regularization (Ridge), reduce the complexity of the model, and increase the size of the training dataset
D) Remove regularization and increase the number of training samples

5. In the context of deep learning, what is a 'convolutional layer' primarily used for?
Response:

A) To reduce the size of the neural network
B) To accelerate the training process of the network
C) To classify input data into different categories
D) To extract features from input data like images

Solutions: