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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: Aug 07, 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)
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Python Institute PCAD-31-02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Visualization and Communication
Topic 2: SQL and Data Management
Topic 3: Data Acquisition and Pre-Processing29.2%
Topic 4: Statistical Methods and Modeling
Topic 5: Exploratory Data Analysis

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

1. You have a list of product prices, and you need to remove duplicate values while maintaining the fastest performance. Which core data structure should you use?

A) tuple
B) list
C) dictionary
D) set


2. What is the correct SQL statement to permanently remove a table named customers from a database?

A) DROP TABLE customers;
B) TRUNCATE TABLE customers;
C) DELETE TABLE customers;
D) REMOVE TABLE customers;


3. Which of the following statements correctly describe best practices when managing Python modules and packages in data analytics workflows?
(Choose two)

A) Use virtual environments to isolate project dependencies
B) Always install packages system-wide for accessibility
C) Regularly update all packages using pip update all
D) Use PIP to install and uninstall third-party libraries as needed


4. What is the primary difference between the == operator and the is operator in Python when used in a data pipeline?

A) is checks value equality, while == checks for data type compatibility
B) == checks identity, while is compares memory addresses
C) == compares values for equality, while is checks for object identity
D) is compares dictionary keys, while == compares keys and values


5. Which operations are valid when working with Pandas Series?
(Choose two)

A) Arithmetic vector operations
B) Applying NumPy universal functions
C) Merging by index using merge()
D) Using .columns to rename


Solutions:

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

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