
Big Data Analytics Quiz
Authored by Halimaton Sadon
Computers
11th Grade
Used 7+ times

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8 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a common application of AI in everyday life?
Sending emails
Autonomous vehicles
Printing documents
Automated lawn mowers
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of artificial intelligence?
To replace human workers entirely
To simulate human intelligence and perform tasks that typically require human intelligence
To enhance the emotional capabilities of machines
To process large amounts of data quickly and accurately
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is big data analytics?
D. The process of analyzing data for entertainment purposes
C. The process of analyzing only structured data
B. The process of examining big data to uncover information
A. The process of examining small data sets
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is big data analytics important?
B. To increase the amount of unstructured data
C. To complicate decision-making processes
A. To make data-driven decisions that can improve business outcomes
D. To reduce operational efficiency
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does big data analytics work?
A. By ignoring unstructured data
B. By analyzing only historical data
C. By collecting, processing, cleaning, and analyzing data
D. By focusing on basic business intelligence queries
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are some benefits of using big data analytics?
D. Improved decision-making, talent shortages, and data accessibility
C. Cost savings, improved decision-making, and real-time intelligence
B. Better customer engagement, optimize risk management strategies, and talent shortages
A. Real-time intelligence, better-informed decisions, and cost increases
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of predictive analytics in big data?
A. To analyze historical data for insights
B. To forecast future trends and outcomes
C. To organize unstructured data efficiently
D. To focus on real-time data processing
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