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

2. Which data collection method is most appropriate when gathering opinions from a target audience at scale?

A) Transactional data
B) Sensor logs
C) Web scraping
D) Surveys

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) Decision tree regression
D) Polynomial regression

4. What does the describe() method in Pandas provide when applied to a numerical DataFrame column?

A) Only the standard deviation of the data
B) A normalized version of the data column
C) Basic descriptive statistics such as count, mean, and quartiles
D) A histogram of the data distribution

5. What is the correct SQL statement to permanently remove a table named customers from a database?

A) REMOVE TABLE customers;
B) DROP TABLE customers;
C) TRUNCATE TABLE customers;
D) DELETE TABLE customers;

Solutions: