Distributed data mining MCQs December 22, 2025November 19, 2024 by u930973931_answers 10 min Score: 0 Attempted: 0/10 Subscribe 1. What is distributed data mining (DDM)? (A) Mining data on a single machine only (B) Mining data that is distributed across multiple machines or nodes (C) Storing data across multiple databases (D) Sharing data between different organizations 2. Which of the following is a key advantage of distributed data mining? (A) It can process large volumes of data spread across multiple machines (B) It requires less computational power (C) It simplifies data integration from different sources (D) It eliminates the need for data pre-processing 3. Which of the following is a common challenge in distributed data mining? (A) Data sparsity (B) Limited storage capacity (C) Data communication and synchronization across nodes (D) Lack of machine learning algorithms 4. In distributed data mining, what does data partitioning refer to? (A) Storing the data on a single machine (B) Cleaning and normalizing the data (C) Combining data from multiple sources into one dataset (D) Splitting the dataset into smaller parts processed on different nodes 5. Which of the following is a type of distributed data mining architecture? (A) Centralized architecture (B) Federated architecture (C) Client-server architecture (D) Grid computing architecture 6. In distributed data mining, what is model aggregation? (A) Combining data from different nodes (B) Combining multiple models generated at different nodes (C) Splitting datasets into smaller subsets (D) Cleaning data for analysis 7. Which of the following is a limitation of distributed data mining? (A) Increased network communication overhead (B) Inability to use machine learning algorithms (C) Decreased storage efficiency (D) Decreased processing power 8. Which technique is used in distributed data mining to ensure privacy and security? (A) Data visualization (B) Parallel processing (C) Data compression (D) Data encryption and secure communication protocols 9. What is horizontal data partitioning in distributed data mining? (A) Dividing data based on attributes (B) Dividing data based on records or rows (C) Storing data across multiple locations (D) Generating multiple models 10. In distributed data mining, what does local data mining refer to? (A) Mining data on a central server (B) Mining data stored on a single node (C) Mining data across multiple nodes (D) Mining data using centralized algorithms