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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. Which techniques can be used to select a subset of rows and columns from a DataFrame using labels?
(Choose two)

A) df.loc[2:7, ['col1', 'col2']]
B) df.loc[:, 'col1']
C) df['col1', 'col2']
D) df.iloc[0:5, 'col2']

2. Which practices are considered part of professional Python scripting standards?
(Choose two)

A) Avoiding error handling to keep code clean
B) Using consistent indentation and naming conventions
C) Including in-line comments and docstrings
D) Avoiding use of modules and libraries

3. 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

4. Which actions are valid techniques for handling erroneous categorical values in a dataset?
(Choose two)

A) Removing rows with invalid labels
B) Normalizing using min-max scaling
C) Replacing inconsistent labels with a standardized value
D) Converting all values to integers

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 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'

Solutions: