Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) : PCAD-31-02

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:

1. Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?

A) matplotlib
B) NumPy
C) seaborn
D) pandas

2. When analyzing a dataset of customer ages, you calculate the mean, median, and mode. What does it indicate if all three values are approximately equal?

A) The dataset has a normal distribution
B) The dataset is uniformly distributed
C) The dataset contains outliers
D) The dataset is positively skewed

3. What is the recommended Python library to connect and extract tabular data directly from an Excel file?

A) matplotlib
B) sqlite3
C) csv
D) openpyxl

4. What is the best approach when comparing SQL NULL values with Python data during conditional checks?

A) Replace NULL with zero before importing
B) Use == None directly in SQL queries
C) Convert all NULL to string before comparison
D) Use Python's None and SQL's IS NULL clause

5. Why is min-max scaling applied before using algorithms like K-Nearest Neighbors or SVM?

A) To convert strings into numeric values
B) To prevent features with larger scales from dominating distance calculations
C) To compress all values into integers
D) To make all features interpretable as binary values

Solutions: