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

1. Which practices are considered part of professional Python scripting standards?
(Choose two)

A) Using consistent indentation and naming conventions
B) Including in-line comments and docstrings
C) Avoiding error handling to keep code clean
D) Avoiding use of modules and libraries

2. What is the outcome of the following code?
data = [5, 10, 15]
result = [x**2 for x in data if x > 5]
print(result)

A) [100, 225]
B) [25, 100, 225]
C) [25, 100]
D) [10, 15]

3. What is a key assumption of linear regression that distinguishes it from logistic regression?

A) Output values must be binary
B) The relationship between predictors and the outcome is linear
C) Predictors must be independent
D) The target variable is unordered categorical

4. Which method is best suited to transform inconsistent entries such as "N/A", "missing", and empty strings into a standard missing value representation in a Pandas DataFrame?

A) df.replace()
B) df.sort_values()
C) df.rename()
D) df.dropna()

5. When analyzing a dataset, which of the following functions would best help detect skewness or asymmetry in the data distribution?

A) skew()
B) std()
C) mean()
D) sum()

Solutions: