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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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

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

2. Which Python construct allows you to iterate over a list of dictionary values and apply conditional logic to accumulate numerical values that meet a certain threshold?

A) filter() function with map
B) for loop with if condition
C) while loop with try block
D) lambda expression with reduce

3. What result will the following Pandas expression return: df['Age'].notnull().all()?

A) Returns True if at least one value in 'Age' is not NULL
B) Returns the number of NULL values in 'Age'
C) Returns True if all values in 'Age' are not NULL
D) Returns True if all values in 'Age' are NULL

4. What is the key difference between the .iloc[] and .loc[] accessors when working with Series or DataFrames?

A) .iloc[] allows label-based selection
B) .loc[] does not allow slicing
C) .loc[] can only be used on Series
D) .iloc[] is position-based, while .loc[] is label-based

5. Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)

A) Using assertions to enforce domain-specific rules
B) Sorting columns alphabetically
C) Automatically converting all text to uppercase
D) Defining and enforcing schema constraints

Solutions: