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

1. Which of the following would best validate the uniqueness of a primary key in a Pandas DataFrame?

A) df['id'].nunique()
B) df['id'].duplicated().any()
C) df['id'].fillna()
D) df['id'].isnull().sum()

2. Which metric is most appropriate for evaluating the accuracy of a classification model?

A) Mean squared error
B) R-squared
C) Confusion matrix
D) Precision

3. What is the most efficient way to handle missing values in a Pandas DataFrame when preparing a dataset for analysis that must maintain original index structure and avoid row deletions?

A) Use dropna() with axis=1
B) Apply interpolate() method
C) Use drop() to remove null rows
D) Use fillna() with a constant value

4. Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:

A) Scatter plot
B) Heatmap
C) Line chart
D) Histogram

5. Which practices are essential to ensure a fair evaluation of a machine learning model's performance?
(Choose two)

A) Splitting data into training and test sets
B) Randomizing the test dataset labels
C) Using cross-validation to assess generalizability
D) Training on the entire dataset including test records

Solutions: