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

1. Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)

A) Sorting columns alphabetically
B) Defining and enforcing schema constraints
C) Using assertions to enforce domain-specific rules
D) Automatically converting all text to uppercase

2. What is the primary advantage of using web scraping as a data collection method in business analytics?

A) It allows automation of data collection from public sources
B) It ensures compliance with privacy laws
C) It guarantees real-time data accuracy
D) It eliminates the need for data cleaning

3. 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

4. Which of the following techniques are commonly used in the standardization of textual or categorical data during preprocessing?
(Choose two)

A) Scaling numeric features to a fixed range
B) Replacing misspellings with a canonical category label
C) Trimming whitespace from string values
D) Applying logarithmic transformation to skewed data

5. What distinguishes structured data from unstructured data in the context of data modeling and storage?

A) Structured data follows a consistent schema or format
B) Unstructured data cannot be stored or analyzed
C) Unstructured data contains only numeric values
D) Structured data cannot be stored in databases

Solutions: