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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. Which statements correctly describe differences between linear and logistic regression?
(Choose two)
A) Linear regression requires target variables to be binary
B) Logistic regression uses the logit function to model relationships
C) Logistic regression outputs probabilities, while linear regression predicts continuous values
D) Linear regression applies only to classification tasks
2. What is a major challenge in aggregating data from multiple sources?
Response:
A) Overfitting in predictive models
B) Duplicate records and format inconsistencies
C) Excessive disk space usage
D) Increased algorithmic complexity
3. Which of the following practices contributes most to making Python scripts modular and maintainable?
A) Using global variables freely
B) Structuring code with reusable functions and modules
C) Hard-coding file paths in every function
D) Writing all logic in the global scope
4. What distinguishes structured data from unstructured data in the context of data modeling and storage?
A) Unstructured data cannot be stored or analyzed
B) Structured data follows a consistent schema or format
C) Structured data cannot be stored in databases
D) Unstructured data contains only numeric values
5. Which Python control structures are commonly used for data filtering and iterative operations in real-world analytics tasks?
(Choose two)
A) match-case statements
B) decorators
C) while loops
D) list comprehensions
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C,D |



