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Hint: We say two quantities are correlated when one quantity increases ( decreases ) and the other increases ( decreases ) . We say two

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We say two quantities are correlated when one quantity increases (decreases) and the other increases (decreases).
We say two quantities are anticorrelated when one quantity increases (decreases) and the other decreases (increases).
We say two quantities are uncorrelated when there is no obvious relation between them.
In [15]: # THIS IS JUST A TEMPLATE. COPY THE VARIABLES AND CHANGE THE VALUES. DO NOT CHANGE VARIABLE NAMES!
answer2_1='A'
answer2?-?2?'B'
answer2?-3=?'C'
answer2_4=?-D'
###
### YOUR CODE HERE
###
In [16]: answers ','B','C','D','E']
assert answer2_1 in answers, 'answer2_1 should be one of {}'.format(answers)
answers ','B','C','D']
assert answer2_2 in answers, 'answer2_2 should be one of {}'.format(answers)
answers ','B','C']
assert answer2_3 in answers, 'answer2_3 should be one of {}'.format(answers)
answers ','B','C']
assert answer2_4 in answers, 'answer2_4 should be one of {}'.format(answers)Shuffling
1 point possible (graded)
Which of the following are true about the shuffle operation in Spark?
You are encouraged to read more about shuffle here.
All Spark operations involve shuffling
Shuffling requires large amounts of network communication which makes the operation expensive
Shuffling is Spark's mechanism for re-distributing data across partitions
To avoid shuffling, we should think about ways to leverage existing partitions. For example, leveraging
partial aggregation to reduce data transfer
No communication between worker nodes is required for the shuffling operation
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