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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 does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?

A) A strong negative linear relationship
B) A weak positive relationship
C) No correlation
D) A moderate non-linear association

2. Which technique would be most appropriate to handle missing numerical values in a dataset intended for machine learning?

A) Replacing with NULL
B) Filling with random values
C) Imputation using mean or median
D) Dropping all columns

3. Which of the following are true characteristics of bootstrapping in statistics?
(Choose two)

A) It assumes a normal distribution
B) It enables confidence interval estimation
C) It uses random sampling with replacement
D) It requires a large population sample

4. Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)

A) df.loc[2:7, ['col1', 'col2']]
B) df.loc[:, 'col1']
C) df.iloc[0:5, 'col2']
D) df['col1', 'col2']

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

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

Solutions: