Big Data and Data Mining MCQs January 8, 2026November 19, 2024 by u930973931_answers 10 min Score: 0 Attempted: 0/10 Subscribe 1. What is the primary characteristic of Big Data? (A) It involves large amounts of structured data only (B) It is used for storing and analyzing small datasets (C) It involves high volume, velocity, and variety of data (D) It requires specialized software for real-time processing 2. Which of the following is NOT a typical feature of Big Data? (A) Verification (B) Volume (C) Variety (D) Velocity 3. Which of the following is an example of structured data? (A) Tweets from Twitter (B) Video content from YouTube (C) A relational database (D) Sensor data from a smart device 4. In Data Mining, what is the main goal? (A) To collect and store data (B) To analyze large datasets and find patterns or relationships (C) To clean data for processing (D) To visualize data for better understanding 5. Which of the following best describes Data Mining? (A) The process of storing data in a warehouse for future use (B) The process of cleaning data for storage in databases (C) The process of analyzing large datasets to discover hidden patterns (D) The process of designing a data storage system 6. Which of the following Big Data technologies is primarily used for distributed storage? (A) Weka (B) R (C) Hadoop (D) RapidMiner 7. What is the main function of Hadoop Distributed File System (HDFS)? (A) To process large datasets in parallel (B) To analyze data using machine learning algorithms (C) To provide a fault-tolerant storage system for Big Data (D) To visualize data trends in real-time 8. What does NoSQL stand for? (A) Non-Structured Query Language (B) New SQL (C) Not Only SQL (D) None of the above 9. Which of the following is a key feature of Data Mining? (A) Clustering (B) Sorting (C) Indexing (D) Fragmenting 10. What is the main difference between Big Data and traditional data processing? (A) Big Data requires a faster network connection (B) Big Data involves smaller datasets with faster processing (C) Big Data involves more manual work for data cleaning and analysis (D) Big Data requires new technologies to handle large, diverse, and fast data streams