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

2. What distinguishes structured data from unstructured data in the context of data modeling and storage?

A) Structured data follows a consistent schema or format
B) Structured data cannot be stored in databases
C) Unstructured data cannot be stored or analyzed
D) Unstructured data contains only numeric values

3. 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) Wrapping SQL commands in try-except blocks
C) Using string concatenation to insert variables into SQL
D) Using string formatting to build SQL queries dynamically

4. Which practices enhance both readability and professionalism in spreadsheet formatting?
(Choose two)

A) Applying consistent font and cell styling
B) Aligning column headers to the left
C) Centering all data regardless of type
D) Using uniform date formats across columns

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

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

Solutions: