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

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

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

2. 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

3. Which data collection method is most appropriate when gathering opinions from a target audience at scale?

A) Sensor logs
B) Web scraping
C) Transactional data
D) Surveys

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

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

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

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

Solutions: