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

1. Which approaches help tailor data visualizations for non-technical stakeholders?
(Choose two)

A) Add context through narrative or titles
B) Focus on trend and summary metrics
C) Use jargon-rich annotations
D) Use raw code outputs for clarity

2. In a scatter plot showing the relationship between advertising spend and sales revenue, the points form a tight upward-sloping pattern. What conclusion can be drawn?

A) The correlation is weak and likely negative
B) The data shows no apparent relationship
C) There is a strong positive correlation
D) Advertising has no effect on sales

3. What is a best practice when organizing data in a spreadsheet for analysis?

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

4. What is the main purpose of validating a dataset before applying statistical analysis?

A) To sort the data alphabetically
B) To generate more columns from the dataset
C) To visualize patterns more clearly
D) To ensure the dataset meets expected quality and structure

5. What is the primary reason for using parameterized queries instead of directly formatting SQL strings in Python?

A) To simplify data encryption
B) To prevent SQL injection vulnerabilities
C) To reduce the number of SQL statements
D) To allow dynamic table creation

Solutions: