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Big Data Analytics Multiple Choice Questions (MCQ) Online Test #2

Big Data Analytics MCQ #11:

How is Big Data commonly described?

About Big Data Analytics Multiple Choice Question (MCQ) #11:
This ICT Multiple Choice Question (ICT MCQ) #11 focuses on Big Data Analytics within the "Intermediate ICT MCQ" category. This question tests the basic understanding of what constitutes Big Data.
Big Data Analytics MCQ #12:

What does the "Variety" characteristic in Big Data refer to?

About Big Data Analytics Multiple Choice Question (MCQ) #12:
This ICT Multiple Choice Question (ICT MCQ) #12 focuses on Big Data Analytics within the "Intermediate ICT MCQ" category. This question examines the "Variety" characteristic of Big Data.
Big Data Analytics MCQ #13:

Which characteristic is essential for ensuring that a Big Data system can handle growing amounts of data?

About Big Data Analytics Multiple Choice Question (MCQ) #13:
This ICT Multiple Choice Question (ICT MCQ) #13 focuses on Big Data Analytics within the "Intermediate ICT MCQ" category. This question examines the characteristic essential for handling growing amounts of data in Big Data systems.
Big Data Analytics MCQ #14:

What is the primary advantage of a NoSQL database in Big Data architecture?

About Big Data Analytics Multiple Choice Question (MCQ) #14:
This ICT Multiple Choice Question (ICT MCQ) #14 focuses on Big Data Analytics within the "Intermediate ICT MCQ" category. This question examines the primary advantages of NoSQL databases in Big Data architecture.
Big Data Analytics MCQ #15:

How is Big Data used in healthcare to predict patient outcomes?

About Big Data Analytics Multiple Choice Question (MCQ) #15:
This ICT Multiple Choice Question (ICT MCQ) #15 focuses on Big Data Analytics within the "Intermediate ICT MCQ" category. This question examines how Big Data is used in healthcare to predict patient outcomes.
Big Data Analytics MCQ #16:

In marketing, what is a key benefit of using Big Data?

About Big Data Analytics Multiple Choice Question (MCQ) #16:
This ICT Multiple Choice Question (ICT MCQ) #16 focuses on Big Data Analytics within the "Intermediate ICT MCQ" category. This question examines a key benefit of using Big Data in marketing.
Big Data Analytics MCQ #17:

How does the Internet of Things (IoT) generate Big Data?

About Big Data Analytics Multiple Choice Question (MCQ) #17:
This ICT Multiple Choice Question (ICT MCQ) #17 focuses on Big Data Analytics within the "Intermediate ICT MCQ" category. This question examines how the Internet of Things (IoT) generates Big Data.
Big Data Analytics MCQ #18:

What is a key benefit of using Big Data for sentiment analysis in social media?

About Big Data Analytics Multiple Choice Question (MCQ) #18:
This ICT Multiple Choice Question (ICT MCQ) #18 focuses on Big Data Analytics within the "Intermediate ICT MCQ" category. This question examines the key benefits of using Big Data for sentiment analysis in social media.
Big Data Analytics MCQ #19:

How is artificial intelligence (AI) expected to impact Big Data analytics?

About Big Data Analytics Multiple Choice Question (MCQ) #19:
This ICT Multiple Choice Question (ICT MCQ) #19 focuses on Big Data Analytics within the "Intermediate ICT MCQ" category. This question examines how artificial intelligence (AI) is expected to impact Big Data analytics.
Big Data Analytics MCQ #20:

What is a common issue faced in real-time analytics?

About Big Data Analytics Multiple Choice Question (MCQ) #20:
This ICT Multiple Choice Question (ICT MCQ) #20 focuses on Big Data Analytics within the "Intermediate ICT MCQ" category. This question examines a common issue faced in real-time analytics.
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  • This online test, titled "Big Data Analytics Multiple Choice Questions (MCQ) Online Test #2" is designed for individuals at the intermediate level and focuses on "Big Data Analytics". It consists of 10 carefully crafted multiple choice questions (MCQs) with four options each that assess intermediate knowledge and understanding of the subject matter. This test aims to help participants evaluate their grasp of key concepts related to "Big Data Analytics".
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