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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 actions are valid techniques for handling erroneous categorical values in a dataset?
(Choose two)

A) Removing rows with invalid labels
B) Normalizing using min-max scaling
C) Converting all values to integers
D) Replacing inconsistent labels with a standardized value

2. Which type of regression is most appropriate when the response variable is categorical, such as predicting customer churn (Yes/No)?

A) Logistic regression
B) Decision tree regression
C) Linear regression
D) Polynomial regression

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

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

4. When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)

A) dropna
B) suffixes
C) on
D) ignore_index

5. What may occur if a model is evaluated using the same data it was trained on?

A) Data leakage
B) Overfitting
C) Overgeneralization
D) Underfitting

Solutions: