GIAC Machine Learning Engineer
Domain 3Objective 3
Neural Networks GMLE Practice Questions (Page 8)
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 36–39
- 36
A deep learning engineer is training a neural network and notices that the loss is decreasing but very slowly. The engineer suspects the learning rate is too low. Which of the following adjustments would be most appropriate?
Select an answer first - 37
Which metric is most appropriate for evaluating a binary classification model when the classes are imbalanced?
Select an answer first - 38
A team is developing a neural network to predict customer churn. The dataset is imbalanced, with 80% non-churn and 20% churn. The model is trained with binary cross-entropy loss and achieves an AUC of 0.85 on the validation set. However, the team wants to improve the recall of the churn class without significantly reducing precision. Which of the following strategies would be most appropriate?
Select an answer first - 39
Given a single neuron with weight w=2, bias b=1, and input x=3, what is the output after applying a ReLU activation function?
Select an answer first
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