41. In big data analytics, what is the primary challenge associated with "data veracity"? A. Limited data volume B. Limited data variety C. Limited data velocity D. Limited data reliability Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
42. What is the primary benefit of using a distributed data processing framework like Apache Spark over traditional batch processing systems? A. Reduced data variety B. Real-time data processing C. Simplified data velocity D. Enhanced data visualization Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
43. What is the main advantage of using a "NoSQL" database in big data applications? A. High data consistency B. Flexible schema and scalability C. Real-time data processing D. Columnar storage format Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
44. What is the primary purpose of "data cleansing" in big data preprocessing? A. To introduce errors into the data B. To increase data volume C. To improve data quality D. To slow down data velocity Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
45. In the context of big data analytics, what is the primary goal of "data enrichment"? A. To reduce data variety B. To decrease data velocity C. To enhance data with additional information D. To increase data reliability Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
46. In a distributed computing cluster, what is the primary role of a "Master Node" (or NameNode) in the Hadoop ecosystem? A. Storing metadata B. Managing job scheduling C. Storing and managing data blocks D. Managing data visualization Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
47. Which distributed computing framework is designed for real-time data stream processing and is often used for analyzing event data and monitoring applications? A. Apache Kafka B. Apache HBase C. Apache Spark Streaming D. Apache Hive Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
48. What is the primary challenge in processing and analyzing data with high velocity in a big data environment? A. Limited data volume B. Data skew C. Data variety D. Data veracity Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
49. In a distributed computing environment, what is the purpose of "data partitioning" or "sharding"? A. To introduce data redundancy B. To improve data visualization C. To increase data variety D. To distribute data across multiple nodes Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
50. What does the term "batch processing" typically refer to in the context of big data analytics? A. Real-time data processing B. Processing data in small increments C. Processing data in fixed-size batches D. Real-time data collection and analysis Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
