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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. What is the most efficient way to handle missing values in a Pandas DataFrame when preparing a dataset for analysis that must maintain original index structure and avoid row deletions?

A) Use dropna() with axis=1
B) Use fillna() with a constant value
C) Use drop() to remove null rows
D) Apply interpolate() method

2. Which characteristics are commonly associated with cloud-based data storage solutions?

A) High availability and redundancy
B) Elastic scalability
C) Physical proximity to user machines
D) Requires dedicated local hardware

3. Which of the following correctly demonstrates the use of parameterized queries using Python's sqlite3 module?

A) cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
B) cursor.execute("SELECT * FROM users WHERE id = ?", user_id)
C) cursor.execute("SELECT * FROM users WHERE id = " + user_id)
D) cursor.execute("SELECT * FROM users WHERE id = ':id'", {'id': user_id})

4. Which of the following best describes the use of relational databases in analytics?

A) Used only for image processing
B) Best for real-time log ingestion
C) Cannot enforce schema
D) Suitable for managing tabular structured data

5. Which of the following statistical measures are considered measures of central tendency?
(Choose two)

A) Interquartile range
B) Variance
C) Mean
D) Mode

Solutions: