
CSD33503-Chap10-Data Mining Trends Quiz
Authored by Wan Aezwani Wan Abu Bakar
Computers
University

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11 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What best defines the concept of data mining trends in the context of modern data science?
The outdated methods used for static data analysis
The evolving patterns, techniques, and technologies shaping the future of data mining
The decline of data analytics due to privacy concerns
The temporary strategies applied to clean small datasets
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it crucial for data scientists to stay updated with emerging trends in data mining?
To maintain obsolete systems for longer periods
To focus only on historical data and ignore future patterns
To remain competitive, adopt innovative tools, and improve data-driven decision-making
To reduce the number of data sources being used
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a current trend in data mining?
Cloud-based data analytics
Real-time and stream data mining
Manual data entry optimization
Integration of AI and ML in predictive analytics
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which trend allows data mining applications to scale efficiently, handling large, complex datasets across multiple systems?
Manual data validation
Distributed systems and cloud computing
Spreadsheet-based analysis
Local server-only computations
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How have Artificial Intelligence (AI) and Machine Learning (ML) transformed data mining practices?
By replacing all predictive analytics models with manual techniques
By enhancing predictive analytics and enabling adaptive decision-making models
By reducing the need for automation
By limiting data mining to numerical data only
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following challenges is associated with mining big data, and how is it addressed by parallel processing frameworks like Hadoop and Spark?
Limited dataset size, addressed by spreadsheets
Complex data volumes, processed efficiently using distributed frameworks
Data privacy, solved by cloud backups
Outdated algorithms, addressed by printed reports
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following are considered research frontiers in data mining? (Choose the correct pair)
Email management and spreadsheet formatting
Deep learning for big data and privacy-preserving data mining
Barcode scanning and cloud billing
Data archiving and compact disk storage
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