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GIAC GMLE Exam Syllabus Topics:

GIAC Machine Learning Engineer Sample Questions:

Question 1

Which strategies can be applied to improve the anomaly detection performance of an autoencoder?
(Choose two)
Response:

A. Add regularization techniques such as L1 or L2
B. Reduce the number of hidden layers
C. Increase the size of the latent space
D. Train the autoencoder on both normal and anomalous data

Question 2

What is the primary purpose of clustering in unsupervised machine learning?
Response:

A. To reduce the dimensionality of the data
B. To predict future data points based on historical data
C. To improve the accuracy of supervised learning models
D. To group similar data points without predefined labels

Question 3

Which machine learning technique is commonly used for detecting anomalies in network traffic?
Response:

A. Autoencoders
B. Decision Trees
C. Naive Bayes
D. k-means clustering

Question 4

You are tasked with clustering a large dataset of customer transactions to identify patterns of behavior. You have chosen k-means clustering but are unsure of the optimal number of clusters to use. What steps should you take to determine the optimal number of clusters and ensure high-quality clustering?
Response:

A. Randomly select the number of clusters and observe the clustering performance
B. Start with a large number of clusters and manually reduce them over time
C. Use the elbow method to plot the within-cluster sum of squares and determine the point where the improvement diminishes, and use the silhouette score to evaluate cluster cohesion
D. Use hierarchical clustering to identify clusters and apply the same number to k-means

Question 5

How does 'L1 regularization' differ from 'L2 regularization' in machine learning?
Response:

A. L1 is used for regression; L2 is used for classification
B. L1 is for neural networks; L2 is for decision trees
C. L1 optimizes the learning rate; L2 optimizes the batch size
D. L1 adds the absolute value of coefficients; L2 adds the square of coefficients

Solutions: