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

1. Which technique would be most appropriate to handle missing numerical values in a dataset intended for machine learning?

A) Imputation using mean or median
B) Replacing with NULL
C) Filling with random values
D) Dropping all columns

2. Which storage system is best suited for storing and retrieving large volumes of unstructured data, such as images or logs?

A) Data cubes
B) Relational databases
C) In-memory databases
D) Object storage systems

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

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

4. What object-oriented principle allows a child class to reuse and extend the behavior of a parent class in a Python data modeling scenario?

A) Encapsulation
B) Abstraction
C) Composition
D) Inheritance

5. What result will the following Pandas expression return: df['Age'].notnull().all()?

A) Returns True if all values in 'Age' are not NULL
B) Returns the number of NULL values in 'Age'
C) Returns True if all values in 'Age' are NULL
D) Returns True if at least one value in 'Age' is not NULL

Solutions: