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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 a major challenge in aggregating data from multiple sources?
Response:

A) Overfitting in predictive models
B) Excessive disk space usage
C) Increased algorithmic complexity
D) Duplicate records and format inconsistencies

2. What is the primary goal of pre-processing data before performing analysis?

A) To compress datasets for storage efficiency
B) To minimize the number of data points
C) To ensure the data is clean, consistent, and suitable for modeling
D) To obscure sensitive information

3. In supervised learning, what is the primary goal when training a model on labeled data?

A) To cluster data points into similar groups
B) To discover hidden patterns without outputs
C) To analyze unstructured data formats like text
D) To learn a function that maps inputs to known outputs

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

5. Which method is appropriate for combining two DataFrames based on a shared key column where non-matching rows should be excluded from the result?

A) merge(..., how='inner')
B) concat()
C) append()
D) join(..., how='outer')

Solutions: