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Data Science Multiple Choice Questions (MCQ) Online Test #2


Data Science MCQ #11:

How can data science contribute to environmental data analysis?

About Data Science Multiple Choice Question (MCQ) #11:
This ICT Multiple Choice Question (ICT MCQ) #11 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores how data science can contribute to environmental data analysis.

Data Science MCQ #12:

Which phase in the data science process involves transforming raw data into a usable format?

About Data Science Multiple Choice Question (MCQ) #12:
This ICT Multiple Choice Question (ICT MCQ) #12 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the phase in the data science process that involves transforming raw data into a usable format.

Data Science MCQ #13:

What is the primary function of SQL in data science?

About Data Science Multiple Choice Question (MCQ) #13:
This ICT Multiple Choice Question (ICT MCQ) #13 focuses on Data Science within the "Advanced ICT MCQ" category. This question describes the primary function of SQL in data science.

Data Science MCQ #14:

Which statistical method is commonly used to determine the relationship between two continuous variables?

About Data Science Multiple Choice Question (MCQ) #14:
This ICT Multiple Choice Question (ICT MCQ) #14 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the statistical method commonly used to determine the relationship between two continuous variables.

Data Science MCQ #15:

Which of the following is an example of feature scaling?

About Data Science Multiple Choice Question (MCQ) #15:
This ICT Multiple Choice Question (ICT MCQ) #15 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies an example of feature scaling.

Data Science MCQ #16:

Which classification algorithm is known for its ability to handle non-linear relationships by using kernel functions?

About Data Science Multiple Choice Question (MCQ) #16:
This ICT Multiple Choice Question (ICT MCQ) #16 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the classification algorithm known for handling non-linear relationships using kernel functions.

Data Science MCQ #17:

Which of the following technologies is commonly used for processing big data in distributed environments?

About Data Science Multiple Choice Question (MCQ) #17:
This ICT Multiple Choice Question (ICT MCQ) #17 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a technology commonly used for processing big data in distributed environments.

Data Science MCQ #18:

What is a common application of data science in financial risk management?

About Data Science Multiple Choice Question (MCQ) #18:
This ICT Multiple Choice Question (ICT MCQ) #18 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a common application of data science in financial risk management.

Data Science MCQ #19:

What role does data science play in IoT data analysis?

About Data Science Multiple Choice Question (MCQ) #19:
This ICT Multiple Choice Question (ICT MCQ) #19 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses the role of data science in IoT data analysis.

Data Science MCQ #20:

What role does machine learning play in image processing?

About Data Science Multiple Choice Question (MCQ) #20:
This ICT Multiple Choice Question (ICT MCQ) #20 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the role of machine learning in image processing.
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  • This online test, titled "Data Science Multiple Choice Questions (MCQ) Online Test #2" is designed for individuals at the advanced level and focuses on "Data Science". It consists of 10 carefully crafted multiple choice questions (MCQs) with five options each that assess advanced knowledge and understanding of the subject matter. This test aims to help participants evaluate their grasp of key concepts related to "Data Science".