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 only
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, Visualization
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 only
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 only
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-structured
6. . Veracity in big data refers to:
(A) The trustworthiness and quality of the data
(B) Encrypting veracity
(C) Compressing veracity
(D) Backup only
7. . Value in big data refers to:
(A) Encrypting value
(B) The meaningful insights and benefits extracted from data
(C) Compressing value
(D) Backup only
8. . Structured data is:
(A) Backup only
(B) Encrypting structured data
(C) Compressing structured data
(D) Data organized in rows and columns, like in databases
9. . Unstructured data includes:
(A) Text, images, videos, social media posts, and emails
(B) Encrypting unstructured data
(C) Compressing unstructured data
(D) Backup only
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 only
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 data
12. . MapReduce is:
(A) Backup only
(B) Encrypting MapReduce
(C) Compressing data
(D) A programming model in Hadoop for processing large datasets in parallel
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 only
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 quality
15. . Data visualization helps to:
(A) Backup only
(B) Encrypt visualization
(C) Compress graphs
(D) Represent insights graphically for easier interpretation and decision-making
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 only
17. . Batch processing refers to:
(A) Processing large volumes of data in groups at scheduled intervals
(B) Encrypting batches
(C) Compressing batches
(D) Backup only
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 data
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 only
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 only