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PCAD-31-02 pdf
  • Exam Code: PCAD-31-02
  • Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
  • Updated: Jun 05, 2026
  • Q & A: 146 Questions and Answers
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  • Exam Code: PCAD-31-02
  • Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
  • Updated: Jun 05, 2026
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  • Exam Code: PCAD-31-02
  • Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
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  • Q & A: 146 Questions and Answers
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:

1. Which type of chart is most appropriate when comparing the distribution of a numerical variable across multiple categories?

A) Scatter plot
B) Pie chart
C) Line chart
D) Box plot


2. Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:

A) Scatter plot
B) Histogram
C) Line chart
D) Heatmap


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

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


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

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


5. What is the main reason for using try-except blocks in a data analysis script that reads multiple files?

A) To automatically restart the script after execution
B) To enforce strict type annotations
C) To gracefully handle runtime errors without crashing the program
D) To ensure functions always return None


Solutions:

Question # 1
Answer: D
Question # 2
Answer: A,D
Question # 3
Answer: A,C
Question # 4
Answer: B
Question # 5
Answer: C

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