NSCT-Big Data Analytics (Introductory) MCQs 20 min Score: 0 Attempted: 0/20 Subscribe 1. . Big Data Analytics is: (A) The process of examining large and complex datasets to uncover hidden patterns, correlations, and insights (B) Encrypting big data only (C) Compressing datasets only (D) Backup onlyShow All Answers 2. . The 5 V's of Big Data are: (A) Voltage, Velocity, Variety, Validation, Value (B) Volume, Velocity, Variety, Veracity, Value (C) Volume, Velocity, Variance, Veracity, Value (D) Volume, Variety, Value, Verification, VisualizationShow All Answers 3. . Volume in big data refers to: (A) Compressing data (B) Encrypting data volume (C) The massive amount of data generated from various sources (D) Backup onlyShow All Answers 4. . Velocity in big data refers to: (A) The speed at which data is generated and processed (B) Encrypting speed (C) Compressing velocity (D) Backup onlyShow All Answers 5. . Variety in big data refers to: (A) Backup only (B) Encrypting variety (C) Compressing data types (D) Different types of data such as structured, unstructured, and semi-structuredShow All Answers 6. . Veracity in big data refers to: (A) The trustworthiness and quality of the data (B) Encrypting veracity (C) Compressing veracity (D) Backup onlyShow All Answers 7. . Value in big data refers to: (A) Encrypting value (B) The meaningful insights and benefits extracted from data (C) Compressing value (D) Backup onlyShow All Answers 8. . Structured data is: (A) Backup only (B) Encrypting structured data (C) Compressing structured data (D) Data organized in rows and columns, like in databasesShow All Answers 9. . Unstructured data includes: (A) Text, images, videos, social media posts, and emails (B) Encrypting unstructured data (C) Compressing unstructured data (D) Backup onlyShow All Answers 10. . Semi-structured data is: (A) Data that does not conform to a strict schema but contains tags or markers, like JSON or XML (B) Encrypting semi-structured data (C) Compressing semi-structured data (D) Backup onlyShow All Answers 11. . Hadoop is: (A) Backup only (B) Encrypting big data framework (C) Compressing Hadoop data (D) An open-source framework for distributed storage and processing of big dataShow All Answers 12. . MapReduce is: (A) Backup only (B) Encrypting MapReduce (C) Compressing data (D) A programming model in Hadoop for processing large datasets in parallelShow All Answers 13. . Spark is: (A) Encrypting Spark (B) A fast, in-memory big data processing framework supporting batch and stream processing (C) Compressing Spark (D) Backup onlyShow All Answers 14. . Data cleaning in big data analytics is: (A) Backup only (B) Encrypting data (C) Compressing datasets (D) Removing errors, inconsistencies, and duplicates to improve data qualityShow All Answers 15. . Data visualization helps to: (A) Backup only (B) Encrypt visualization (C) Compress graphs (D) Represent insights graphically for easier interpretation and decision-makingShow All Answers 16. . Real-time analytics in big data refers to: (A) Encrypting real-time data (B) Processing data as it is generated to provide immediate insights (C) Compressing streams (D) Backup onlyShow All Answers 17. . Batch processing refers to: (A) Processing large volumes of data in groups at scheduled intervals (B) Encrypting batches (C) Compressing batches (D) Backup onlyShow All Answers 18. . NoSQL databases are used in big data because they: (A) Backup only (B) Encrypt NoSQL (C) Compress NoSQL data (D) Can handle unstructured, semi-structured, and rapidly changing dataShow All Answers 19. . Data mining in big data analytics is: (A) Compressing mining (B) Encrypting mining (C) Extracting patterns, correlations, and knowledge from large datasets (D) Backup onlyShow All Answers 20. . The main purpose of big data analytics is to: (A) Encrypt all data (B) Transform large and complex datasets into actionable insights for decision-making and strategy (C) Compress datasets (D) Backup onlyShow All Answers
