Practice Mapreduce (13.2.2.2) - Big Data Technologies (Hadoop, Spark)

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8 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does the Map phase do in MapReduce?
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Think about how data is organized and processed.
Question 2.
Give an example of a key-value pair.
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Consider something we often count or measure.
3Question 3.
What is the purpose of the Map phase in MapReduce?
- To process raw input data
- To visualize data
- To write data back to disk
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Focus on data transformation.
4Question 4.
True or False: The Reduce phase consolidates intermediate data into final results.
- True
- False
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Think about the function of summarizing.
Question 5.
Consider a dataset of e-commerce transactions. How might you use MapReduce to analyze customer purchase trends over a month?
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Think about how to categorize data.
Question 6.
Explain the implications of using MapReduce for a real-time data processing scenario like stock trading.
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Consider the need for speed in real-time systems.

4 more questions in this section. Enroll free to practise them all.