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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Data Acquisition and Pre-Processing	29.2%
Statistical Methods and Modeling
SQL and Data Management
Exploratory Data Analysis
Data Visualization and Communication

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q132-Q137):

NEW QUESTION # 132
Which term best describes the process of combining customer data from multiple systems into a single unified dataset?

A. Data integration
B. Data normalization
C. Data warehousing
D. Data binning

Answer: A

NEW QUESTION # 133
Which packages are most commonly used together in a data science workflow for data manipulation and visualization?
(Choose two)

A. flask
B. NumPy
C. Pygame
D. pandas

Answer: B,D

NEW QUESTION # 134
Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)

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

Answer: C,D

NEW QUESTION # 135
Which approaches are commonly used to extract structured data from APIs in Python?
(Choose two)

A. Load CSV directly with re.compile()
B. Open Excel files using matplotlib
C. Use the requests module to retrieve JSON responses
D. Access data using requests.get() and parse it with .json()

Answer: C,D

NEW QUESTION # 136
What is a best practice when organizing data in a spreadsheet for analysis?

A. Use consistent column headers across all sheets
B. Apply conditional formatting to entire rows only
C. Place charts in the middle of data tables
D. Merge cells to reduce redundancy

Answer: A

NEW QUESTION # 137
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