Pig DATA-SCIENCE-OPTIMIZE Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   In which execution mode does Pig run without a Hadoop cluster, using the local file system?

   • AMapReduce mode
   • BTez mode
   • CLocal mode
   • DSpark mode
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   Which statement best describes Pig Latin?

   • AA procedural data flow language that describes how to transform data step by step
   • BA scripting language used to configure and manage Hadoop cluster nodes
   • CA low-level Java API for writing custom MapReduce jobs
   • DA declarative query language similar to SQL that specifies what to retrieve without specifying how
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   Which Pig Latin statement groups tuples with the same key into a bag?

   • AORDER
   • BGROUP
   • CFOREACH
   • DFILTER
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What is a key advantage of using Pig Latin over raw MapReduce for data processing?

   • APig Latin always runs faster than raw MapReduce
   • BPig Latin automatically handles all data security and encryption
   • CPig Latin does not require a Hadoop cluster to run
   • DPig Latin requires less code and provides a higher level of abstraction
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   What is the primary role of Apache Pig in the Hadoop ecosystem?

   • ATo provide a high-level scripting language for data processing that compiles into MapReduce jobs
   • BTo store large datasets in a distributed, fault-tolerant file system
   • CTo manage cluster resource allocation and job scheduling across Hadoop nodes
   • DTo provide a SQL-like query interface for real-time analytics on streaming data
   Reveal Solution Discussion Select an answer first