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

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

2. When analyzing a sales dataset using Pandas, which of the following techniques help extract key insights by grouping and summarizing the data?
(Choose two)

A) Using fillna() to replace missing product prices
B) Applying agg() to calculate multiple metrics like mean and max
C) Using rename() to change column headers
D) Using groupby() to compute total sales per region

3. Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)

A) Construct queries using f-strings for readability
B) Sanitize input by replacing dangerous characters with asterisks
C) Store credentials securely using environment variables
D) Limit database user permissions to only necessary operations

4. Which SQL command should a data analyst use to modify existing records in a database table based on specific conditions?

A) UPDATE
B) CREATE
C) SELECT
D) INSERT

5. When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)

A) suffixes
B) on
C) dropna
D) ignore_index

Solutions: