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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 formats are commonly used for hierarchical or nested data structures in data acquisition?
(Choose two)

A) TSV
B) XML
C) CSV
D) JSON

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

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

3. What is the purpose of using the groupby() function in a Pandas DataFrame when analyzing a dataset with multiple categories and numerical values?

A) To sort the DataFrame by a specific column
B) To split the data into subgroups for aggregation
C) To filter rows based on index values
D) To append new rows to the DataFrame

4. What is the correct sequence to connect to a database and execute a query using the sqlite3 module in Python?

A) Connect → Execute → Commit → Close
B) Execute → Connect → Commit → Close
C) Commit → Connect → Execute → Close
D) Connect → Commit → Execute → Close

5. Which practices contribute to better exception handling in data pipelines involving file I/O and numerical computations?
(Choose two)

A) Using specific exception types like FileNotFoundError or ZeroDivisionError
B) Catching all exceptions using a generic except: clause without specifying the error
C) Suppressing all error output using pass
D) Logging error messages for later inspection during failures

Solutions: