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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

1. Which of the following improves the readability of a spreadsheet used for collaborative data analysis?

A) Removing gridlines from all sheets
B) Using colored fonts to highlight every cell
C) Adding freeze panes to lock header rows
D) Converting numeric values into images

2. Which of the following are limitations of manual data collection methods?
(Choose two)

A) Time-consuming process
B) Seamless integration with big data tools
C) Increased chance of human error
D) High scalability

3. What is one potential risk of dynamically constructing SQL queries using string concatenation in Python scripts?

A) Increased memory usage
B) Exposure to SQL injection attacks
C) Missing foreign key constraints
D) Slower database performance

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

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

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

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

Solutions: