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

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

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

2. Which features are commonly supported by both Matplotlib and Seaborn for customizing visualizations?
(Choose two)

A) Adding plot titles and axis labels
B) Changing plot color palettes
C) Automatic plot animations
D) Inserting audio annotations

3. What is a key advantage of using the Parquet file format over CSV in large-scale data pipelines?

A) Parquet supports schema evolution and columnar storage
B) Parquet offers row-based compression
C) Parquet stores data in plain text, making it human-readable
D) Parquet files can only be used with Excel

4. Which practices help ensure secure and effective execution of SQL queries in Python scripts?
(Choose all that apply)

A) Employing parameterized statements for user-supplied data
B) Wrapping SQL commands in try-except blocks
C) Using string concatenation to insert variables into SQL
D) Using string formatting to build SQL queries dynamically

5. Which command should a data analyst use to install the pandas library in a Python environment using the Python Package Index?

A) python get pandas
B) pip install pandas
C) python install pandas
D) install pip pandas

Solutions: