TEST YOUR ICT SKILLS!

Data Science Multiple Choice Questions (MCQ) Online Test #9


Data Science MCQ #81:

What does precision measure in a classification model?

About Data Science Multiple Choice Question (MCQ) #81:
This ICT Multiple Choice Question (ICT MCQ) #81 focuses on Data Science within the "Advanced ICT MCQ" category. This question explains what precision measures in a classification model.

Data Science MCQ #82:

In k-Means clustering, what does the term "k" represent?

About Data Science Multiple Choice Question (MCQ) #82:
This ICT Multiple Choice Question (ICT MCQ) #82 focuses on Data Science within the "Advanced ICT MCQ" category. This question explains what the term "k" represents in k-Means clustering.

Data Science MCQ #83:

How can data science be applied in healthcare to improve patient outcomes?

About Data Science Multiple Choice Question (MCQ) #83:
This ICT Multiple Choice Question (ICT MCQ) #83 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses how data science can be applied in healthcare to improve patient outcomes.

Data Science MCQ #84:

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

About Data Science Multiple Choice Question (MCQ) #84:
This ICT Multiple Choice Question (ICT MCQ) #84 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores how data science can improve customer targeting in e-commerce.

Data Science MCQ #85:

What role does data science play in anomaly detection within cybersecurity systems?

About Data Science Multiple Choice Question (MCQ) #85:
This ICT Multiple Choice Question (ICT MCQ) #85 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores the role of data science in anomaly detection within cybersecurity systems.

Data Science MCQ #86:

What is an important consideration for maintaining data integrity in data science projects?

About Data Science Multiple Choice Question (MCQ) #86:
This ICT Multiple Choice Question (ICT MCQ) #86 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies an important consideration for maintaining data integrity in data science projects.

Data Science MCQ #87:

What advantage does cloud computing provide for data science projects?

About Data Science Multiple Choice Question (MCQ) #87:
This ICT Multiple Choice Question (ICT MCQ) #87 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies an advantage of cloud computing for data science projects.

Data Science MCQ #88:

What is a major application of data science in educational data?

About Data Science Multiple Choice Question (MCQ) #88:
This ICT Multiple Choice Question (ICT MCQ) #88 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores a major application of data science in educational data.

Data Science MCQ #89:

Which step in the data science process involves using statistical techniques to summarize the data?

About Data Science Multiple Choice Question (MCQ) #89:
This ICT Multiple Choice Question (ICT MCQ) #89 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the step in the data science process that involves using statistical techniques to summarize the data.

Data Science MCQ #90:

What type of visualization is particularly useful for showing the frequency distribution of a variable?

About Data Science Multiple Choice Question (MCQ) #90:
This ICT Multiple Choice Question (ICT MCQ) #90 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies the type of visualization that is particularly useful for showing the frequency distribution of a variable.
This page was last modified on by ICT MCQ Hub.


  • This online test, titled "Data Science Multiple Choice Questions (MCQ) Online Test #9" 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".