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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:

1. Which metric is most appropriate for evaluating the accuracy of a classification model?

A) R-squared
B) Mean squared error
C) Confusion matrix
D) Precision

2. Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?

A) matplotlib
B) pandas
C) NumPy
D) seaborn

3. Which actions are valid techniques for handling erroneous categorical values in a dataset?
(Choose two)

A) Removing rows with invalid labels
B) Replacing inconsistent labels with a standardized value
C) Converting all values to integers
D) Normalizing using min-max scaling

4. Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)

A) pivot_table()
B) sort_values()
C) median()
D) var()

5. Which of the following statistical measures are considered measures of central tendency?
(Choose two)

A) Interquartile range
B) Mode
C) Variance
D) Mean

Solutions: