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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Exploratory Data Analysis | ||
| Statistical Methods and Modeling | ||
| Data Visualization and Communication | ||
| Data Acquisition and Pre-Processing | 29.2% | |
| SQL and Data Management |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. What is the main reason to remove duplicate records before performing analysis?
A) It avoids converting data to JSON format
B) It ensures training data is intentionally overfitted
C) It helps increase sample size
D) It reduces redundancy that can skew statistical metrics
2. Which practices help ensure secure and effective execution of SQL queries in Python scripts?
(Choose all that apply)
A) Employing parameterized statements for user-supplied data
B) Using string concatenation to insert variables into SQL
C) Wrapping SQL commands in try-except blocks
D) Using string formatting to build SQL queries dynamically
3. Which type of regression is most appropriate when the response variable is categorical, such as predicting customer churn (Yes/No)?
A) Logistic regression
B) Linear regression
C) Polynomial regression
D) Decision tree regression
4. Which SQL commands are typically used to retrieve and manipulate data in a data analysis context?
(Choose all that apply)
Response:
A) INSERT
B) ROLLBACK
C) SELECT
D) UPDATE
5. When analyzing a dataset, which of the following functions would best help detect skewness or asymmetry in the data distribution?
A) skew()
B) sum()
C) mean()
D) std()
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,C | Question # 3 Answer: A | Question # 4 Answer: A,C | Question # 5 Answer: A |



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