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Data Science Multiple Choice Questions (MCQ) Online Test #14


Data Science MCQ #131:

What visualization technique is used to understand the relationship between two continuous variables?

About Data Science Multiple Choice Question (MCQ) #131:
This ICT Multiple Choice Question (ICT MCQ) #131 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the visualization technique used to understand the relationship between two continuous variables.

Data Science MCQ #132:

Which unsupervised learning technique is used to group similar data points together?

About Data Science Multiple Choice Question (MCQ) #132:
This ICT Multiple Choice Question (ICT MCQ) #132 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the unsupervised learning technique used to group similar data points together.

Data Science MCQ #133:

What is the key advantage of using decision trees for regression analysis?

About Data Science Multiple Choice Question (MCQ) #133:
This ICT Multiple Choice Question (ICT MCQ) #133 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses the key advantage of using decision trees for regression analysis.

Data Science MCQ #134:

Which of the following is a key feature of hierarchical clustering compared to k-Means clustering?

About Data Science Multiple Choice Question (MCQ) #134:
This ICT Multiple Choice Question (ICT MCQ) #134 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a key feature of hierarchical clustering compared to k-Means clustering.

Data Science MCQ #135:

How does data science contribute to improving business operations in the finance sector?

About Data Science Multiple Choice Question (MCQ) #135:
This ICT Multiple Choice Question (ICT MCQ) #135 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores how data science contributes to improving business operations in the finance sector.

Data Science MCQ #136:

What is one way data science improves e-commerce conversion rates?

About Data Science Multiple Choice Question (MCQ) #136:
This ICT Multiple Choice Question (ICT MCQ) #136 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses how data science improves e-commerce conversion rates.

Data Science MCQ #137:

What is a common application of data science in IoT analytics?

About Data Science Multiple Choice Question (MCQ) #137:
This ICT Multiple Choice Question (ICT MCQ) #137 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores a common application of data science in IoT analytics.

Data Science MCQ #138:

What is a primary responsibility of a machine learning engineer?

About Data Science Multiple Choice Question (MCQ) #138:
This ICT Multiple Choice Question (ICT MCQ) #138 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores a primary responsibility of a machine learning engineer.

Data Science MCQ #139:

How can data science improve biomedical informatics for research purposes?

About Data Science Multiple Choice Question (MCQ) #139:
This ICT Multiple Choice Question (ICT MCQ) #139 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores how data science improves biomedical informatics for research purposes.

Data Science MCQ #140:

How does data science impact the analysis of environmental data for sustainability efforts?

About Data Science Multiple Choice Question (MCQ) #140:
This ICT Multiple Choice Question (ICT MCQ) #140 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores how data science impacts the analysis of environmental data for sustainability efforts.
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  • This online test, titled "Data Science Multiple Choice Questions (MCQ) Online Test #14" 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".