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Exam 1z0-449 topic 1 question 40 discussion

Actual exam question from Oracle's 1z0-449
Question #: 40
Topic #: 1
[All 1z0-449 Questions]

What are the two advantages of using Hive over MapReduce? (Choose two.)

  • A. Hive is much faster than MapReduce because it accesses data directly.
  • B. Hive allows for sophisticated analytics on large data sets.
  • C. Hive does not require MapReduce to run in order to analyze data.
  • D. Hive is a free tool; Hadoop requires a license.
  • E. Hive simplifies Hadoop for new users.
Show Suggested Answer Hide Answer
Suggested Answer: BE 🗳️
E: A comparison of the performance of the Hadoop/Pig implementation of MapReduce with Hadoop/Hive.
Both Hive and Pig are platforms optimized for analyzing large data sets and are built on top of Hadoop. Hive is a platform that provides a declarative SQLlike language whereas Pig requires users to write a procedural language called PigLatin.
Writing MapReduce jobs in Java can be difficult, Hive and Pig has been developed and works as platforms on top of Hadoop. Hive and Pig allows users easy access to data compared to implementing their own MapReduce in Hadoop.
Incorrect Answers:
A: Hive and Pig has been developed and works as platforms on top of Hadoop.
C: Apache Hive provides an SQL-like query language called HiveQL with schema on read and transparently converts queries to MapReduce, Apache Tez and
Spark jobs.
D: Apache Hadoop is an open-source software framework, licensed through Apache License, Version 2.0 (ALv2), which is a permissive free software license written by the Apache Software Foundation (ASF).
References:
https://www.kth.se/social/files/55802074f2765474cb6f543c/7.pdf
by [deleted] at April 4, 2025, 7:48 a.m.

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