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

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

2. What is a key advantage of using the Parquet file format over CSV in large-scale data pipelines?

A) Parquet supports schema evolution and columnar storage
B) Parquet stores data in plain text, making it human-readable
C) Parquet offers row-based compression
D) Parquet files can only be used with Excel

3. When fetching DATETIME values from a SQL database into Python, which Python data type is most appropriate for storing and manipulating these values?

A) time.struct_time
B) float
C) str
D) datetime.datetime

4. Which operations are valid and commonly used on Python lists during data transformation tasks?
(Choose two)

A) Key-value mapping
B) Slicing
C) Index-based iteration
D) Append

5. What is the main purpose of using the bootstrapping technique in inferential statistics?

A) To validate the syntax of SQL queries in Python
B) To increase the number of features in a model
C) To filter outliers from a dataset
D) To estimate the sampling distribution by resampling with replacement

Solutions: