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 AnswersShow 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
