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Web Intelligence and Big Data
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Web Intelligence and Big Data
by Dr. Gautam Shroff
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Quiz 3
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The
hard deadline
for this quiz is
Tue 19 Jan 2038 4:14 AM CET
.
In accordance with the Coursera Honor Code, I (Anonymous Student) certify that the answers here are my own work.
Thank you!
Question 1
Suppose a task takes 100 seconds on one processor, and only 20 seconds when performed using 15 processors: (Check all that apply)
The speedup is 20
The parallel efficiency is the best than can be achieved.
The parallel efficiency is .33
The speedup is less than the ideal case of 15
Question 2
Suppose that the same
scalable
parallel algorithm as problem as in Q1 above is used for a task 10 times larger: (Check all that apply)
The parallel efficiency will become 10 times greater
The parallel efficiency should increase
The speedup should increase
90% of the processors will remain idle
Question 3
Map reduce is ...
a technique to query databases in parallel
a parallel search algorithm
a programming paradigm for parallel batch processing
an implementation of SQL
Question 4
*The parallel efficiency of map-reduce depends on: (Check all that apply)
The cost of writing the final output to disk
The cost of data communication between mapper and reducers
The cost of reading the input data from disk
The amount of useful work performed per input data record
In accordance with the Coursera Honor Code, I (Anonymous Student) certify that the answers here are my own work.
Thank you!
You cannot submit your work until you agree to the Honor Code. Thanks!
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