GIAC GMLE : GIAC Machine Learning Engineer

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GIAC GMLE Exam Syllabus Topics:

GIAC Machine Learning Engineer Sample Questions:

Question 1

In machine learning, what does 'model generalization' mean?
Response:

A. Increasing the number of features in the model
B. The model's ability to perform well on new, unseen data
C. Simplifying the model to make it more interpretable
D. Combining multiple models to improve performance

Question 2

Which of the following metrics is commonly used to evaluate the performance of a regression model?
Response:

A. Precision
B. F1 score
C. Mean Squared Error (MSE)
D. Confusion matrix

Question 3

Which are common sources of data used in machine learning pipelines?
(Choose two)
Response:

A. Web scraping
B. Manual calculations
C. APIs
D. Model ensembling

Question 4

In machine learning, what does 'pruning' a decision tree involve?
Response:

A. Adding more branches to the tree
B. Splitting the tree into multiple smaller trees
C. Increasing the depth of the tree
D. Removing branches to reduce complexity and overfitting

Question 5

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

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

Solutions: