Big Data Analytics and Applications

Daffodil International University Department of Computing and Information Systems Course: Big Data Analysis and Applications - Course Code: CIS 315 Class Test 02 - Time: 30 Mins - Total Marks: 15 - SET - A 1. (a) Explain how Velocity and Variety present distinct architectural processing challenges compared to simple scaling of pure Volume in streaming analytics platforms. [3] (b) Distinguish between Veracity and Valence in Big Data ecosystems, providing a brief real-world example for each. [2] 2. (a) Why do traditional POSIX file systems fail when scaled across petabyte-level storage clusters? Detail the limitations of file locking and centralized metadata overhead. [3] (b) According to the CAP Theorem, explain why distributed network storage systems like HDFS must choose between Consistency or Availability during a network partition. [2] 3. (a) Describe the core responsibilities of the HDFS NameNode and explain how the "Small Files Problem" severely impacts NameNode RAM capacity. [3] (b) Outline the step-by-step data lifecycle during an HDFS Write Pipeline from the client stream to DataNode replication. [2]