Describe the Technological Challenges Posed by Big Data DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   What is the difference between horizontal and vertical scaling in the context of Big Data?

   • AHorizontal scaling increases CPU and memory, while vertical scaling adds more storage.
   • BHorizontal scaling is used for structured data, while vertical scaling is for unstructured data.
   • CHorizontal scaling is cheaper than vertical scaling in all cases.
   • DHorizontal scaling adds more machines to a system, while vertical scaling adds more power to a single machine.
   Reveal Solution Discussion Select an answer first
2. 22foundation · easy

   What is a key challenge in coordinating distributed computing resources for Big Data processing?

   • AEnsuring all nodes are in the same physical location.
   • BEnsuring data is stored on a single node.
   • CEnsuring all nodes use the same operating system.
   • DManaging fault tolerance and handling node failures.
   Reveal Solution Discussion Select an answer first
4. 23application · medium

   A mid-sized bank's customer analytics team uses a single Oracle database for all its data. The database is now 5 TB and growing. The team wants to run complex analytical queries that scan the entire dataset, but these queries take hours and slow down the transactional systems. What is the most significant limitation of the traditional system in this scenario?

   • AIt cannot enforce data quality rules on the data.
   • BIt cannot store unstructured data like emails and documents.
   • CIt cannot scale horizontally to distribute the analytical workload across multiple machines.
   • DIt cannot handle concurrent read and write operations.
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A social media analytics firm wants to identify influential users by analyzing the network of followers, mentions, and reposts. A simple count of followers is insufficient; they need to understand the relationships and interactions between users. Which Big Data challenge is most central to this analysis?

   • AVolume challenge; the firm needs to store more user profiles.
   • BComplexity challenge; the value lies in the interconnectedness of the data, not just individual records.
   • CVelocity challenge; the data needs to be processed faster.
   • DVeracity challenge; the user data may be inaccurate.
   Reveal Solution Discussion Select an answer first
6. 25foundation · easy

   What is a primary limitation of traditional relational databases when handling Big Data?

   • AThey cannot enforce data integrity constraints.
   • BThey cannot store data on multiple servers.
   • CThey are designed for structured data and struggle with unstructured data.
   • DThey are unable to support transactions.
   Reveal Solution Discussion Select an answer first