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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 primary goal of pre-processing data before performing analysis?

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

2. What is the primary role of the pandas library in the Python data science ecosystem?

A) Manipulating labeled data structures
B) Visualizing large datasets
C) Reducing execution time of compiled code
D) Performing statistical tests

3. What is a major challenge in aggregating data from multiple sources?
Response:

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

4. 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 offers row-based compression
C) Parquet files can only be used with Excel
D) Parquet supports schema evolution and columnar storage

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 * array2
D) array1.dot(array2)

Solutions: