scope of data mining MCQs December 22, 2025November 18, 2024 by u930973931_answers 10 min Score: 0 Attempted: 0/10 Subscribe 1. Which of the following is a primary application area of data mining? (A) Web Design (B) Market Basket Analysis (C) Graphic Editing (D) Video Streaming 2. Data mining is extensively used in which sector for credit scoring and risk assessment? (A) Healthcare (B) Education (C) Entertainment (D) Banking and Finance 3. Which of the following best describes the scope of data mining in healthcare? (A) Designing medical equipment (B) Conducting surgical procedures (C) Managing hospital staff schedules (D) Predicting disease outbreaks and patient diagnosis 4. In the context of data mining, which technique is commonly used for customer segmentation? (A) Clustering (B) Linear Regression (C) Sorting (D) Encryption 5. Which of the following is NOT typically considered within the scope of data mining? (A) Pattern Recognition (B) Data Cleaning (C) Data Storage Hardware Design (D) Predictive Modeling 6. How does data mining contribute to the field of telecommunications? (A) By optimizing network infrastructure and predicting customer churn (B) By designing new communication protocols (C) By manufacturing telecom devices (D) By providing customer service training 7. Which area of data mining involves discovering hidden patterns and relationships in large datasets? (A) Data Entry (B) Association Rule Learning (C) Data Visualization (D) Data Backup 8. In e-commerce, data mining is primarily used to: (A) Develop website layouts (B) Enhance product recommendations and personalize user experience (C) Manage inventory physically (D) Handle customer complaints manually 9. Which of the following best defines the scope of data mining in social media analysis? (A) Creating social media platforms (B) Managing social media advertisements manually (C) Developing mobile applications (D) Analyzing user behavior and sentiment to inform marketing strategies 10. Data mining plays a crucial role in fraud detection by: (A) Designing security hardware (B) Training security personnel (C) Monitoring and identifying unusual patterns in transactions (D) Encrypting data transmissions