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

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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. Which method is typically used in Pandas to check if a column contains only values within an expected range?

A) df.clip()
B) df.sort_values()
C) df.isin()
D) df.sample()

2. What is the primary goal of pre-processing data before performing analysis?

A) To minimize the number of data points
B) To compress datasets for storage efficiency
C) To ensure the data is clean, consistent, and suitable for modeling
D) To obscure sensitive information

3. Which method is appropriate for combining two DataFrames based on a shared key column where non-matching rows should be excluded from the result?

A) concat()
B) merge(..., how='inner')
C) append()
D) join(..., how='outer')

4. Why is it important to adjust data presentations based on the audience's background?

A) To avoid using charts altogether
B) To include as many technical terms as possible
C) To ensure the data is understood and supports actionable insights
D) To simplify all metrics to percentages only

5. What is the most efficient way to handle missing values in a Pandas DataFrame when preparing a dataset for analysis that must maintain original index structure and avoid row deletions?

A) Use drop() to remove null rows
B) Use dropna() with axis=1
C) Apply interpolate() method
D) Use fillna() with a constant value

Solutions: