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

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

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

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

2. What is the best approach when comparing SQL NULL values with Python data during conditional checks?

A) Use Python's None and SQL's IS NULL clause
B) Convert all NULL to string before comparison
C) Use == None directly in SQL queries
D) Replace NULL with zero before importing

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

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

4. What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)

A) (4, 5, 6)
B) 15
C) 5.0
D) Error

5. What is the primary reason to use .head() and .tail() methods in pandas when exploring datasets?

A) To rename columns
B) To delete missing values
C) To create visualizations
D) To preview the first and last few rows of data

Solutions: