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DOWNLOAD DEMO

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

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

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

2. Which file format is most suitable for exchanging large tabular datasets with consistent column data types across systems?

A) .xml
B) .json
C) .csv
D) .txt

3. When performing bootstrapping on a dataset with 500 observations, what is a typical procedure?

A) Drawing one sample and calculating the mean only once
B) Creating samples by removing all duplicates
C) Generating multiple datasets of the same size by randomly sampling with replacement
D) Scaling all values between 0 and 1 before resampling

4. Which practices enhance both readability and professionalism in spreadsheet formatting?
(Choose two)

A) Applying consistent font and cell styling
B) Using uniform date formats across columns
C) Aligning column headers to the left
D) Centering all data regardless of type

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

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

Solutions: