TEST YOUR ICT SKILLS!

Data Mining Multiple Choice Questions (MCQ) Online Test #3


Data Mining MCQ #21:

Which data mining technique is commonly used to identify at-risk students in educational settings?

About Data Mining Multiple Choice Question (MCQ) #21:
This ICT Multiple Choice Question (ICT MCQ) #21 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a data mining technique commonly used to identify at-risk students in educational settings.

Data Mining MCQ #22:

Which technique is commonly used in data mining for sentiment analysis?

About Data Mining Multiple Choice Question (MCQ) #22:
This ICT Multiple Choice Question (ICT MCQ) #22 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies a technique commonly used in data mining for sentiment analysis.

Data Mining MCQ #23:

What is the purpose of data preprocessing in the data mining process?

About Data Mining Multiple Choice Question (MCQ) #23:
This ICT Multiple Choice Question (ICT MCQ) #23 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses the purpose of data preprocessing in the data mining process.

Data Mining MCQ #24:

What is the primary use of the Apriori algorithm in data mining?

About Data Mining Multiple Choice Question (MCQ) #24:
This ICT Multiple Choice Question (ICT MCQ) #24 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the primary use of the Apriori algorithm in data mining.

Data Mining MCQ #25:

Which tool is known for its open-source nature and ability to integrate various data sources for analysis?

About Data Mining Multiple Choice Question (MCQ) #25:
This ICT Multiple Choice Question (ICT MCQ) #25 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies the tool known for its open-source nature and ability to integrate various data sources for analysis.

Data Mining MCQ #26:

In social media mining, which method helps in understanding the relationships and interactions between users?

About Data Mining Multiple Choice Question (MCQ) #26:
This ICT Multiple Choice Question (ICT MCQ) #26 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses the method used in social media mining to understand relationships and interactions between users.

Data Mining MCQ #27:

In marketing, which data mining technique is used to discover associations between products bought together?

About Data Mining Multiple Choice Question (MCQ) #27:
This ICT Multiple Choice Question (ICT MCQ) #27 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses the data mining technique used in marketing to discover associations between products bought together.

Data Mining MCQ #28:

How does predictive analytics benefit businesses in decision-making?

About Data Mining Multiple Choice Question (MCQ) #28:
This ICT Multiple Choice Question (ICT MCQ) #28 focuses on Data Mining within the "Advanced ICT MCQ" category. This question identifies how predictive analytics benefits businesses in decision-making.

Data Mining MCQ #29:

What is a common challenge in time series forecasting?

About Data Mining Multiple Choice Question (MCQ) #29:
This ICT Multiple Choice Question (ICT MCQ) #29 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses a common challenge in time series forecasting.

Data Mining MCQ #30:

What role does data mining play in knowledge discovery?

About Data Mining Multiple Choice Question (MCQ) #30:
This ICT Multiple Choice Question (ICT MCQ) #30 focuses on Data Mining within the "Advanced ICT MCQ" category. This question addresses the role of data mining in knowledge discovery.
This page was last modified on by ICT MCQ Hub.


  • This online test, titled "Data Mining Multiple Choice Questions (MCQ) Online Test #3" is designed for individuals at the advanced level and focuses on "Data Mining". 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 Mining".