A data analyst has a DataFrame with 'temperature' and 'humidity' columns. The analyst wants to create a scatter plot to explore the relationship between the two variables and color the points by a 'season' column. Which plotting library and function should be used?

Seaborn's scatterplot with x='temperature', y='humidity', hue='season'

Matplotlib's plt.plot with x='temperature', y='humidity', color='season'

Seaborn's lineplot with x='temperature', y='humidity', hue='season'

Matplotlib's plt.scatter with x='temperature', y='humidity', c='season'

A data scientist has a DataFrame with columns 'attack_type' (categorical) and 'severity' (integer 1-5). The scientist wants to visualize the distribution of severity for each attack type to compare them side by side. Which visualization should be used?

A box plot with 'attack_type' on the x-axis and 'severity' on the y-axis.

A pie chart of 'attack_type' showing the count of each type.

A line plot with 'attack_type' on the x-axis and 'severity' on the y-axis.

A scatter plot with 'attack_type' on the x-axis and 'severity' on the y-axis.

GIAC Python Coder

Domain 4Objective 1

Data Analysis with Python GPYC Practice Questions (Page 5)

Part of the Data Analysis domain, which makes up ~9% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 120-minute exam (~50–80 total, ~5–7 in this domain), expect 5–7 from this objective — we provide 33 practice questions to prepare you well beyond it. (estimate)

33questions here

7free pages

5concepts

Questions 21–25

21application · medium
A data analyst has a DataFrame with 'temperature' and 'humidity' columns. The analyst wants to create a scatter plot to explore the relationship between the two variables and color the points by a 'season' column. Which plotting library and function should be used?
Select an answer first
22application · medium
A data scientist has a DataFrame with columns 'attack_type' (categorical) and 'severity' (integer 1-5). The scientist wants to visualize the distribution of severity for each attack type to compare them side by side. Which visualization should be used?
Select an answer first
23foundation · easy
Which pandas method computes descriptive statistics (count, mean, std, min, quartiles, max) for numeric columns?
Select an answer first
24foundation · easy
Which pandas method sorts a DataFrame by the values of one or more columns?
Select an answer first
25application · medium
A data scientist has a DataFrame of network traffic with a 'bytes' column that contains some extreme outliers due to a few large file transfers. They want to summarize the typical transfer size without being skewed by these outliers. Which descriptive statistic should they use?
Select an answer first

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Data Analysis with Python GPYC Practice Questions (Page 5)

Questions 21–25

A data analyst has a DataFrame with 'temperature' and 'humidity' columns. The analyst wants to create a scatter plot to explore the relationship between the two variables and color the points by a 'season' column. Which plotting library and function should be used?

A data scientist has a DataFrame with columns 'attack_type' (categorical) and 'severity' (integer 1-5). The scientist wants to visualize the distribution of severity for each attack type to compare them side by side. Which visualization should be used?

Which pandas method computes descriptive statistics (count, mean, std, min, quartiles, max) for numeric columns?

Which pandas method sorts a DataFrame by the values of one or more columns?

A data scientist has a DataFrame of network traffic with a 'bytes' column that contains some extreme outliers due to a few large file transfers. They want to summarize the typical transfer size without being skewed by these outliers. Which descriptive statistic should they use?

Keep studying — Data Analysis