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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

2. Which command should a data analyst use to install the pandas library in a Python environment using the Python Package Index?

A) python get pandas
B) python install pandas
C) install pip pandas
D) pip install pandas

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

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

4. Which file format is most suitable for exchanging large tabular datasets with consistent column data types across systems?

A) .csv
B) .txt
C) .json
D) .xml

5. Why might using a pie chart to represent category proportions be less effective than a bar chart?

A) Human perception is less accurate at judging angles than lengths
B) Pie charts cannot be created using Seaborn
C) Bar charts are limited to one variable only
D) Pie charts display individual data points more clearly

Solutions: