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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. When performing bootstrapping on a dataset with 500 observations, what is a typical procedure?

A) Drawing one sample and calculating the mean only once
B) Scaling all values between 0 and 1 before resampling
C) Creating samples by removing all duplicates
D) Generating multiple datasets of the same size by randomly sampling with replacement

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

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 = ':id'", {'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 = ?", (user_id,))

4. What is a key assumption of linear regression that distinguishes it from logistic regression?

A) The relationship between predictors and the outcome is linear
B) Predictors must be independent
C) Output values must be binary
D) The target variable is unordered categorical

5. What is the primary reason for using parameterized queries instead of directly formatting SQL strings in Python?

A) To prevent SQL injection vulnerabilities
B) To allow dynamic table creation
C) To simplify data encryption
D) To reduce the number of SQL statements

Solutions: