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Data Science Multiple Choice Questions (MCQ) Online Test #11


Data Science MCQ #101:

Which tool is primarily used for interactive and web-based data visualizations?

About Data Science Multiple Choice Question (MCQ) #101:
This ICT Multiple Choice Question (ICT MCQ) #101 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the tool primarily used for interactive and web-based data visualizations.

Data Science MCQ #102:

Which supervised learning algorithm is commonly used for predicting continuous outcomes?

About Data Science Multiple Choice Question (MCQ) #102:
This ICT Multiple Choice Question (ICT MCQ) #102 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the supervised learning algorithm commonly used for predicting continuous outcomes.

Data Science MCQ #103:

Which regression technique is used to model the relationship between a dependent variable and one or more independent variables while assuming a linear relationship?

About Data Science Multiple Choice Question (MCQ) #103:
This ICT Multiple Choice Question (ICT MCQ) #103 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the regression technique used to model the relationship between a dependent variable and one or more independent variables while assuming a linear relationship.

Data Science MCQ #104:

Which dimensionality reduction technique is best suited for class separability while maintaining interpretability?

About Data Science Multiple Choice Question (MCQ) #104:
This ICT Multiple Choice Question (ICT MCQ) #104 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the dimensionality reduction technique best suited for class separability while maintaining interpretability.

Data Science MCQ #105:

What is a common application of data science in healthcare for predictive analytics?

About Data Science Multiple Choice Question (MCQ) #105:
This ICT Multiple Choice Question (ICT MCQ) #105 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a common application of data science in healthcare for predictive analytics.

Data Science MCQ #106:

How can data science improve customer experience in e-commerce?

About Data Science Multiple Choice Question (MCQ) #106:
This ICT Multiple Choice Question (ICT MCQ) #106 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses how data science can improve customer experience in e-commerce.

Data Science MCQ #107:

What is a significant benefit of using data science in blockchain analytics?

About Data Science Multiple Choice Question (MCQ) #107:
This ICT Multiple Choice Question (ICT MCQ) #107 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a significant benefit of using data science in blockchain analytics.

Data Science MCQ #108:

What is a key ethical practice for data scientists handling sensitive information?

About Data Science Multiple Choice Question (MCQ) #108:
This ICT Multiple Choice Question (ICT MCQ) #108 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a key ethical practice for data scientists handling sensitive information.

Data Science MCQ #109:

What is a key application of data science in cloud computing environments?

About Data Science Multiple Choice Question (MCQ) #109:
This ICT Multiple Choice Question (ICT MCQ) #109 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a key application of data science in cloud computing environments.

Data Science MCQ #110:

How does data science contribute to the analysis of environmental data?

About Data Science Multiple Choice Question (MCQ) #110:
This ICT Multiple Choice Question (ICT MCQ) #110 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies how data science contributes to the analysis of environmental data.
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  • This online test, titled "Data Science Multiple Choice Questions (MCQ) Online Test #11" 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".