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

Python Institute PCAD-31-02 exam
  • Exam Code: PCAD-31-02
  • Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
  • Updated: Sep 19, 2026
  • Q & A: 146 Questions and Answers
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Python Institute PCAD-31-02 Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Exploratory Data Analysis
Topic 2: Data Acquisition and Pre-Processing29.2%
Topic 3: Statistical Methods and Modeling
Topic 4: SQL and Data Management
Topic 5: Data Visualization and Communication
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Question #1

What does the describe() method in Pandas provide when applied to a numerical DataFrame column?

  • A. Basic descriptive statistics such as count, mean, and quartiles
  • B. A histogram of the data distribution
  • C. A normalized version of the data column
  • D. Only the standard deviation of the data
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #2

Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)

  • A. Store credentials securely using environment variables
  • B. Sanitize input by replacing dangerous characters with asterisks
  • C. Limit database user permissions to only necessary operations
  • D. Construct queries using f-strings for readability
Reveal Solution  Discussion  0

Correct Answer: A,C  🗳️

Question #3

Which actions are valid techniques for handling erroneous categorical values in a dataset?
(Choose two)

  • A. Removing rows with invalid labels
  • B. Converting all values to integers
  • C. Replacing inconsistent labels with a standardized value
  • D. Normalizing using min-max scaling
Reveal Solution  Discussion  0

Correct Answer: A,C  🗳️

Question #4

Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)

  • A. Ignoring data types and treating everything as strings
  • B. Defining column types in Python using sqlite3.register_converter()
  • C. Automatically casting Python variables to SQL column types without validation
  • D. Using a mapping function to convert SQL types into Python objects
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

Question #5

Which of the following would most likely be classified as unstructured data?

  • A. Normalized employee database in PostgreSQL
  • B. Product ID and price list in a CSV
  • C. Collection of customer service audio recordings
  • D. Inventory levels in a spreadsheet
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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