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

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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 method allows you to detect and remove rows with duplicate values across all columns in a Pandas DataFrame?

A) DataFrame.drop_duplicates()
B) DataFrame.remove_duplicates()
C) DataFrame.nunique()
D) DataFrame.unique()

2. What is the main purpose of validating a dataset before applying statistical analysis?

A) To sort the data alphabetically
B) To ensure the dataset meets expected quality and structure
C) To generate more columns from the dataset
D) To visualize patterns more clearly

3. Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)

A) Automatically casting Python variables to SQL column types without validation
B) Using a mapping function to convert SQL types into Python objects
C) Ignoring data types and treating everything as strings
D) Defining column types in Python using sqlite3.register_converter()

4. Which actions are considered best practices when managing datasets in Python using pandas?
(Choose two)

A) Use .info() to understand dataset structure
B) Use .describe() for summary statistics
C) Replace missing values with hardcoded zeros without analysis
D) Always convert all columns to strings

5. Which practices contribute to better exception handling in data pipelines involving file I/O and numerical computations?
(Choose two)

A) Using specific exception types like FileNotFoundError or ZeroDivisionError
B) Catching all exceptions using a generic except: clause without specifying the error
C) Suppressing all error output using pass
D) Logging error messages for later inspection during failures

Solutions: