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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 key advantage of using the Parquet file format over CSV in large-scale data pipelines?

A) Parquet stores data in plain text, making it human-readable
B) Parquet files can only be used with Excel
C) Parquet supports schema evolution and columnar storage
D) Parquet offers row-based compression

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

3. What is the primary purpose of using annotations in a data visualization?

A) To enhance interactivity in static plots
B) To ensure faster rendering in large datasets
C) To replace the need for axes
D) To highlight important data points and provide contextual information

4. What is one potential risk of dynamically constructing SQL queries using string concatenation in Python scripts?

A) Missing foreign key constraints
B) Exposure to SQL injection attacks
C) Slower database performance
D) Increased memory usage

5. Which operation would most efficiently apply element-wise multiplication to two NumPy arrays of equal size?

A) numpy.matrix()
B) numpy.outer()
C) array1.dot(array2)
D) array1 * array2

Solutions: