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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 of the following would most likely be classified as unstructured data?

A) Product ID and price list in a CSV
B) Collection of customer service audio recordings
C) Inventory levels in a spreadsheet
D) Normalized employee database in PostgreSQL

2. What is the purpose of using the groupby() function in a Pandas DataFrame when analyzing a dataset with multiple categories and numerical values?

A) To filter rows based on index values
B) To sort the DataFrame by a specific column
C) To append new rows to the DataFrame
D) To split the data into subgroups for aggregation

3. Which refinements are typically used to enhance clarity and presentation quality in visualizations?
(Choose two)

A) Customizing tick labels
B) Disabling grid lines in all cases
C) Avoiding color entirely
D) Adding descriptive axis labels

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

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

5. Which characteristics are typically associated with supervised learning algorithms?
(Choose two)

A) They are useful for regression and classification tasks
B) They work only with numerical features
C) They require labeled training data
D) They automatically detect outliers

Solutions: