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

1. When analyzing a dataset, which of the following functions would best help detect skewness or asymmetry in the data distribution?

A) sum()
B) std()
C) skew()
D) mean()

2. Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)

A) Construct queries using f-strings for readability
B) Sanitize input by replacing dangerous characters with asterisks
C) Store credentials securely using environment variables
D) Limit database user permissions to only necessary operations

3. Which features of object-oriented patterns improve clarity and reusability in Python analysis workflows?
(Choose all that apply)

A) Encapsulating behavior in class methods
B) Using global variables instead of object properties
C) Applying inheritance to avoid redundant code
D) Replacing all functions with lambda expressions

4. In supervised learning, what is the primary goal when training a model on labeled data?

A) To analyze unstructured data formats like text
B) To cluster data points into similar groups
C) To discover hidden patterns without outputs
D) To learn a function that maps inputs to known outputs

5. Which of the following are key differences between Pandas and NumPy arrays?
(Choose two)

A) Pandas handles labeled data; NumPy does not
B) Pandas Series are more memory efficient than NumPy arrays
C) NumPy supports string indexing; Pandas does not
D) Pandas integrates better with tabular data and missing values

Solutions: