1. How is data mining applied in healthcare?
A) Predicting stock prices
B) Monitoring social media
C) Disease outbreak prediction
D) Content management
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2. What is a common use of big data analytics in finance?
A) Employee training
B) Fraud detection
C) Website optimization
D) Event planning
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3. In marketing, how is data mining utilized?
A) To reduce manufacturing costs
B) To segment customers
C) To increase inventory
D) To manage suppliers
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4. Which of the following is an ethical consideration in data mining?
A) Increasing data volume
B) Data accuracy
C) Data privacy and consent
D) Maximizing data usage
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5. What does GDPR stand for?
A) General Data Processing Regulation
B) Global Data Privacy Regulation
C) General Data Protection Regulation
D) General Data Performance Regulation
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6. How does big data analytics enhance personalized marketing?
A) By standardizing marketing messages
B) By tailoring offers to individual preferences
C) By reducing marketing costs
D) By eliminating market segmentation
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7. What does the term 'ethical AI' refer to?
A) The development of AI technologies that respect data privacy
B) The use of AI for automated decision-making without oversight
C) The application of AI in surveillance systems
D) The exclusion of human input in AI systems
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8. What is a major trend in big data analytics?
A) Manual data processing
B) Data silos
C) Decreased data collection
D) Predictive analytics
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9. Why is real-time analytics important in business?
A) It increases data storage requirements
B) It simplifies data processing
C) It allows quick response to changing data
D) It eliminates the need for data cleaning
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10. How does blockchain contribute to data privacy?
A) By storing data in a centralized server
B) By providing a decentralized and immutable ledger
C) By eliminating all forms of encryption
D) By restricting data access to a single entity
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11. How is social media analytics applied in marketing?
A) To measure campaign effectiveness
B) To eliminate customer feedback
C) To standardize marketing messages
D) To reduce customer interaction
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12. How is machine learning being applied in healthcare?
A) To manage hospital inventory
B) For predictive diagnostics
C) To replace healthcare professionals
D) For simple data entry tasks
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13. How does big data impact business decision-making?
A) By providing insights into market trends
B) By making decisions without data
C) By reducing data collection efforts
D) By increasing human error in decision-making
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14. What is the role of predictive modeling in big data?
A) To analyze past events only
B) To standardize all data inputs
C) To anticipate future trends
D) To eliminate the need for data analysis
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15. How does data mining enhance customer experience?
A) By limiting customer interactions
B) By identifying behavior patterns
C) By eliminating personalization
D) By ignoring customer feedback
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16. Why is data ethics becoming a significant consideration in big data applications?
A) To promote data misuse
B) To standardize data types
C) To limit data access
D) To address privacy concerns and misuse
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17. What is a future trend in big data analytics?
A) Integration of AI and machine learning
B) Decreased data collection
C) Elimination of cloud computing
D) Reduction of data types
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18. How does data integration benefit organizations?
A) By limiting data access
B) By increasing data redundancy
C) By providing a comprehensive view of data
D) By complicating data retrieval
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19. What is the significance of real-time analytics?
A) It enables immediate decision-making
B) It eliminates the need for data
C) It restricts data usage
D) It standardizes all data outputs
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20. What role does cloud computing play in big data?
A) It restricts data storage
B) It offers scalable resources for data processing
C) It standardizes data formats
D) It eliminates the need for data security
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