Pig DATA-SCIENCE-OPTIMIZE Practice Questions (Page 4)

Questions 16–17

1. 16expert · hard

   A Pig script needs to join two datasets: one with user information and one with transaction data. The user dataset is small and can fit in memory, while the transaction dataset is large. The join key is user_id. The team wants to optimize the join performance. Which approach should they take?

   • AUse a regular join and rely on MapReduce to handle it
   • BUse a replicated join by specifying USING 'replicated'
   • CUse a merge join after sorting both datasets
   • DUse a skewed join to handle data skew
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   Which statement correctly compares Pig Latin and raw MapReduce?

   • APig Latin provides automatic optimization of the data flow, while raw MapReduce requires manual optimization
   • BRaw MapReduce is easier to learn than Pig Latin for beginners
   • CPig Latin can only process structured data, while MapReduce can process any data type
   • DRaw MapReduce is more portable across different execution engines than Pig Latin
   Reveal Solution Discussion Select an answer first