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

1. Which actions are considered part of basic data validation tasks in Python using Pandas?
(Choose two)

A) Checking for duplicate rows
B) Sorting the data frame by index
C) Replacing NULL values with placeholders
D) Confirming numeric columns contain only integers

2. Which methods can be used to validate data types and structure in a Pandas DataFrame?
(Choose two)

A) df.dtypes
B) df.info()
C) df.memory_usage()
D) df.to_csv()

3. Which statements correctly describe differences between linear and logistic regression?
(Choose two)

A) Logistic regression uses the logit function to model relationships
B) Logistic regression outputs probabilities, while linear regression predicts continuous values
C) Linear regression applies only to classification tasks
D) Linear regression requires target variables to be binary

4. When merging two Pandas DataFrames using a common key, which parameters are essential to ensure accurate and conflict-free results?
(Choose two)

A) ignore_index
B) suffixes
C) dropna
D) on

5. Which Python constructs are useful for comparing and managing object identity in a data pipeline?
(Choose all that apply)

A) id() function to retrieve unique object identifiers
B) str() function to convert data formats
C) is operator for memory-level comparison
D) == operator for checking value equivalence

Solutions: