A machine learning engineer is building a classification model with a highly imbalanced dataset. They want to evaluate the model's performance using cross-validation. They are considering using accuracy as the metric. Which approach is most appropriate?

Use stratified k-fold cross-validation and evaluate with precision, recall, and F1-score instead of accuracy.

Use cross-validation but only evaluate on the majority class.

Use simple k-fold cross-validation and evaluate with accuracy.

Use train-test split with a fixed random seed and evaluate with accuracy.

A developer is processing a stream of events. Each event is a dictionary with keys 'id', 'type', and 'value'. They need to aggregate the sum of 'value' for each 'type', but only for events that have a unique 'id' (i.e., ignore duplicate ids). The stream is large, and memory is a concern. Which data structure and approach is most efficient?

Use a dictionary with id as key and value as the sum, then aggregate by type

Use a list to store all events and then filter duplicates

Use a set to track seen ids and a dictionary to accumulate sums

Use a pandas DataFrame and drop_duplicates

GIAC Machine Learning Engineer

Domain 1Objective 2

Leveraging Python GMLE Practice Questions (Page 3)

Part of the Foundational Data Science and Statistics domain, which makes up ~41% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 180-minute exam (~70–120 total, ~29–49 in this domain), expect 7–12 from this objective — we provide 36 practice questions to prepare you well beyond it. (estimate)

36questions here

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Questions 11–15

11expert · hard
A machine learning engineer is building a classification model with a highly imbalanced dataset. They want to evaluate the model's performance using cross-validation. They are considering using accuracy as the metric. Which approach is most appropriate?
Select an answer first
12foundation · easy
Which Python data structure is ordered, changeable, and allows duplicate elements?
Select an answer first
13expert · hard
A developer is processing a stream of events. Each event is a dictionary with keys 'id', 'type', and 'value'. They need to aggregate the sum of 'value' for each 'type', but only for events that have a unique 'id' (i.e., ignore duplicate ids). The stream is large, and memory is a concern. Which data structure and approach is most efficient?
Select an answer first
14foundation · easy
Which Scikit-learn method is used to train a model on training data?
Select an answer first
15foundation · easy
Which Matplotlib function is used to create a simple line plot?
Select an answer first

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Leveraging Python GMLE Practice Questions (Page 3)

Questions 11–15

A machine learning engineer is building a classification model with a highly imbalanced dataset. They want to evaluate the model's performance using cross-validation. They are considering using accuracy as the metric. Which approach is most appropriate?

Which Python data structure is ordered, changeable, and allows duplicate elements?

Which Scikit-learn method is used to train a model on training data?

Which Matplotlib function is used to create a simple line plot?

Keep studying — Foundational Data Science and Statistics