최신Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) - PCAD-31-02무료샘플문제
문제1
What result will the following Pandas expression return: df['Age'].notnull().all()?
What result will the following Pandas expression return: df['Age'].notnull().all()?
정답: A
문제2
What is the recommended Python library to connect and extract tabular data directly from an Excel file?
What is the recommended Python library to connect and extract tabular data directly from an Excel file?
정답: A
문제3
What is the primary goal of pre-processing data before performing analysis?
What is the primary goal of pre-processing data before performing analysis?
정답: A
문제4
Which method is commonly used to handle missing numerical data in a dataset?
Which method is commonly used to handle missing numerical data in a dataset?
정답: D
문제5
Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)
Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)
정답: A,C
문제6
Which characteristics are commonly associated with cloud-based data storage solutions?
Which characteristics are commonly associated with cloud-based data storage solutions?
정답: A
문제7
Why is min-max scaling applied before using algorithms like K-Nearest Neighbors or SVM?
Why is min-max scaling applied before using algorithms like K-Nearest Neighbors or SVM?
정답: B