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

1. What is the recommended Python library to connect and extract tabular data directly from an Excel file?

A) openpyxl
B) sqlite3
C) csv
D) matplotlib

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

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

3. Why is it important to adjust data presentations based on the audience's background?

A) To ensure the data is understood and supports actionable insights
B) To include as many technical terms as possible
C) To avoid using charts altogether
D) To simplify all metrics to percentages only

4. Which storage system is best suited for storing and retrieving large volumes of unstructured data, such as images or logs?

A) Object storage systems
B) Data cubes
C) Relational databases
D) In-memory databases

5. What is the primary reason to use .head() and .tail() methods in pandas when exploring datasets?

A) To rename columns
B) To create visualizations
C) To delete missing values
D) To preview the first and last few rows of data

Solutions: