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GIAC GMLE Exam Syllabus Topics:

GIAC Machine Learning Engineer Sample Questions:

Question 1

What is the primary function of NumPy in machine learning workflows?
Response:

A. Web scraping
B. Handling data visualizations
C. Providing support for large multi-dimensional arrays and matrices
D. Building deep learning models

Question 2

In machine learning, which of the following is an example of applying probability theory?
Response:

A. Performing clustering using k-means
B. Estimating the likelihood of a new observation belonging to a certain class
C. Using decision trees to classify data
D. Visualizing data using histograms

Question 3

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

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

Question 4

Your cybersecurity team is tasked with detecting anomalies in network traffic that may indicate malicious activity. You decide to use an autoencoder for this task. After training the autoencoder on normal network traffic data, you notice that it is not accurately detecting anomalies.
What are the next steps you should take to improve the performance of the autoencoder?
Response:

A. Train the autoencoder solely on anomalous data to improve its accuracy
B. Retrain the autoencoder with fewer data points and remove regularization techniques
C. Increase the complexity of the network by adding more layers and disabling dropout
D. Adjust the size of the latent space and apply regularization techniques to reduce overfitting

Question 5

What is the main purpose of the latent space in an autoencoder?
Response:

A. To generate labels for the dataset
B. To classify anomalies directly
C. To store weights for model training
D. To serve as a compressed representation of the input data

Solutions: