GIAC Machine Learning Engineer
Domain 3Objective 3
Neural Networks GMLE Practice Questions (Page 2)
Part of the Advanced Machine Learning and Neural Networks domain, which makes up ~30% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 180-minute exam (~70–120 total, ~21–36 in this domain), expect 7–12 from this objective — we provide 39 practice questions to prepare you well beyond it. (estimate)
39questions here
8free pages
9concepts
Questions 6–10
- 6
What is the effect of using a very large batch size during training?
Select an answer first - 7
A team is building a neural network to detect fraudulent credit card transactions. The dataset is highly imbalanced, with only 1% fraudulent transactions. The model currently achieves 99% accuracy on the test set, but it fails to catch most fraudulent transactions. Which evaluation metric should the team use to better assess the model's performance?
Select an answer first - 8
A data scientist is training a neural network for a medical diagnosis task. The dataset is small and the model overfits easily. The scientist has tried L2 regularization and dropout, but validation accuracy is still low. Which of the following additional strategies would be most likely to improve generalization?
Select an answer first - 9
For a regression task predicting house prices, which loss function is commonly used?
Select an answer first - 10
Which component of a neural network introduces non-linearity into the model?
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