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

1. What is the main purpose of using the bootstrapping technique in inferential statistics?

A) To increase the number of features in a model
B) To estimate the sampling distribution by resampling with replacement
C) To validate the syntax of SQL queries in Python
D) To filter outliers from a dataset

2. What is a major challenge in aggregating data from multiple sources?
Response:

A) Duplicate records and format inconsistencies
B) Increased algorithmic complexity
C) Excessive disk space usage
D) Overfitting in predictive models

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

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

4. Which characteristics are commonly associated with cloud-based data storage solutions?

A) Requires dedicated local hardware
B) High availability and redundancy
C) Elastic scalability
D) Physical proximity to user machines

5. What is a key assumption of linear regression that distinguishes it from logistic regression?

A) The target variable is unordered categorical
B) Predictors must be independent
C) The relationship between predictors and the outcome is linear
D) Output values must be binary

Solutions: