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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. Which transformation method adjusts the mean of the dataset to 0 and the standard deviation to 1?

A) One-hot encoding
B) Min-max normalization
C) Z-score normalization
D) Log transformation

2. Which of the following are key differences between Pandas and NumPy arrays?
(Choose two)

A) Pandas integrates better with tabular data and missing values
B) Pandas handles labeled data; NumPy does not
C) NumPy supports string indexing; Pandas does not
D) Pandas Series are more memory efficient than NumPy arrays

3. Which conditions typically necessitate data normalization or scaling before analysis?
(choose two)

A) Distance-based modeling algorithms
B) Presence of duplicate data
C) Boolean feature encoding
D) Features with different units and scales

4. When joining two tables in a relational database using SQL, which clause is used to specify the relationship between their columns?

A) JOIN ON
B) FROM
C) GROUP BY
D) HAVING

5. What is the primary purpose of using a requirements.txt file in Python-based data projects?

A) To track script runtime dependencies during execution
B) To store the current working directory of Python modules
C) To automatically compress source code for deployment
D) To list the packages and versions required for consistent environment setup

Solutions: