Multiple Choice
What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?
A) You will not be able to compress the intermediate data.
B) You will longer be able to take advantage of a Combiner.
C) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
D) There are no concerns with this approach. It is always advisable to use multiple reduces.
Correct Answer:

Verified
Correct Answer:
Verified
Q1: Which best describes what the map method
Q2: What data does a Reducer reduce method
Q3: Workflows expressed in Oozie can contain:<br>A) Sequences
Q4: Table metadata in Hive is:<br>A) Stored as
Q5: You need to create a job that
Q7: In the reducer, the MapReduce API provides
Q8: Which best describes how TextInputFormat processes input
Q9: In a MapReduce job with 500 map
Q10: Analyze each scenario below and indentify which
Q11: In a large MapReduce job with m