Data security concerns MCQs January 8, 2026November 19, 2024 by u930973931_answers 15 min Score: 0 Attempted: 0/15 Subscribe 1. What is the main concern related to data security in data mining? (A) Unauthorized access, modification, or loss of sensitive data (B) The speed of data processing (C) The complexity of machine learning algorithms (D) Data storage costs 2. Which of the following is a common threat to data security in data mining? (A) Data normalization (B) Data encryption (C) Data breaches and hacking attacks (D) Data pre-processing 3. What is data encryption, and how does it contribute to data security? (A) It stores data in a compressed format for faster access (B) It analyzes data for patterns and trends (C) It involves converting data into a code to prevent unauthorized access (D) It filters out irrelevant data from the dataset 4. Which of the following is NOT a method of ensuring data security in data mining? (A) Data anonymization (B) Data storage optimization (C) Data access control and user authentication (D) Data encryption 5. What does data anonymization aim to protect in data mining? (A) The accuracy of the data models (B) The identity and privacy of individuals represented in the data (C) The storage and retrieval efficiency of data (D) The structure and formatting of data 6. Which of the following is a key concern related to data security when using cloud storage for data mining? (A) Speed of data transfer (B) Loss of control over data and reliance on third-party providers (C) The high cost of cloud services (D) Difficulty in accessing the data 7. What is access control in data security for data mining? (A) Anonymizing data to protect privacy (B) Encrypting data to prevent unauthorized access (C) Backing up data to ensure recovery in case of loss (D) Restricting access to data based on user roles and privileges 8. Which of the following is a best practice for securing sensitive data during the mining process? (A) Using weak passwords for data access (B) Storing sensitive data without encryption (C) Implementing multi-factor authentication for users accessing the data (D) Allowing open access to data for faster analysis 9. Which of the following describes a data breach in the context of data security? (A) An authorized user accesses data for analysis (B) Data is backed up regularly to prevent loss (C) A vulnerability in the system is exploited, leading to unauthorized access to sensitive data (D) Data is anonymized to protect privacy 10. Which regulation addresses the security and privacy of personal data in the European Union? (A) HIPAA (Health Insurance Portability and Accountability Act) (B) GDPR (General Data Protection Regulation) (C) CCPA (California Consumer Privacy Act) (D) SOX (Sarbanes-Oxley Act) 11. Which of the following is an example of a physical security measure for data? (A) Encrypting data during transmission (B) Implementing firewalls for data protection (C) Using biometric authentication for access control (D) Securing data centers with access control systems and surveillance 12. What does data integrity ensure in the context of data mining? (A) The availability of data for analysis (B) The ability to anonymize sensitive data (C) The encryption of data to ensure confidentiality (D) The accuracy and consistency of data over its lifecycle 13. Which of the following describes a denial of service (DoS) attack as a data security threat? (A) An unauthorized person accessing sensitive data (B) A virus infecting data files (C) A hacker floods a system with excessive requests, preventing legitimate access (D) A system failure leading to the loss of data 14. How does data masking contribute to data security in data mining? (A) By reducing the amount of data to be stored (B) By removing unnecessary data from the dataset (C) By compressing data for efficient storage (D) By replacing sensitive data with fictional data to prevent exposure 15. Why is compliance with security regulations important in data mining? (A) It ensures faster data processing (B) It helps protect data from breaches and legal consequences (C) It reduces data storage costs (D) It improves the accuracy of data models