A data analyst has a CSV file with a column 'price' that contains strings like '$1,234.56'. They need to compute the mean price. Which Pandas operation should they use?

df['price'].astype(float).mean()

df['price'].apply(lambda x: float(x.strip('$,'))).mean()

df['price'].str.replace('[$,]', '', regex=True).astype(float).mean()

A researcher is developing a data analysis workflow in a Jupyter notebook. They need to ensure that the notebook can be rerun from top to bottom without errors, and they want to document the steps clearly. Which practice is most effective?

Use print statements to document the workflow

Put all code in a single cell to avoid ordering issues

Use Markdown cells to explain each step and ensure all imports are at the top of the notebook

Run cells in any order and rely on the kernel's state

GIAC Machine Learning Engineer

Domain 1Objective 2

Leveraging Python GMLE Practice Questions (Page 7)

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

8free pages

8concepts

Questions 31–35

31foundation · easy
Which NumPy function creates an array of zeros with a specified shape?
Select an answer first
32expert · hard
A researcher is implementing a custom neural network layer in NumPy. The forward pass computes Z = X @ W + b, where X is (batch_size, input_dim), W is (input_dim, output_dim), and b is (output_dim,). During backpropagation, they need to compute the gradient of the loss with respect to W. Given dZ, the gradient of the loss with respect to Z, which expression correctly computes dW?
Select an answer first
33foundation · easy
Which tool is commonly used to create isolated Python environments for data science projects?
Select an answer first
34application · medium
A data analyst has a CSV file with a column 'price' that contains strings like '$1,234.56'. They need to compute the mean price. Which Pandas operation should they use?
Select an answer first
35application · medium
A researcher is developing a data analysis workflow in a Jupyter notebook. They need to ensure that the notebook can be rerun from top to bottom without errors, and they want to document the steps clearly. Which practice is most effective?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to GMLE

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by GIAC (SANS). “GMLE” is a trademark of its owner, used for identification only.

Leveraging Python GMLE Practice Questions (Page 7)

Questions 31–35

Which NumPy function creates an array of zeros with a specified shape?

Which tool is commonly used to create isolated Python environments for data science projects?

A data analyst has a CSV file with a column 'price' that contains strings like '$1,234.56'. They need to compute the mean price. Which Pandas operation should they use?

A researcher is developing a data analysis workflow in a Jupyter notebook. They need to ensure that the notebook can be rerun from top to bottom without errors, and they want to document the steps clearly. Which practice is most effective?

Keep studying — Foundational Data Science and Statistics