Python for AI & Data Analytics MCQs

Topic-wise practice questions for Artificial Intelligence & Machine Learning. Test your knowledge, check solutions on demand, and pace your preparation.

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Q1easy
What will be the output of this code?
Q2easy
What will be the output of the following code?
Q3easy
What is the result of the following Pandas operation?
Q4easy
What is a Pandas GroupBy operation used for?
Q5medium
What does the axis=1 parameter represent in a Pandas function (like

drop or apply)?
Q6easy
What is the function of the read_csv() function in Pandas?
Q7easy
What does df.head(3) return?
Q8easy
What is the difference between df.loc[0] and df.iloc[0]?
Q9medium
Why is it significantly faster to use Pandas df['score'] * 2 compared to writing a for loop to iterate through the column?
Q10medium
Your data contains several NaN values. Which method is used to replace all missing values with the mean of the column?