Practice Hadoop Vs. Spark (13.4) - Big Data Technologies (Hadoop, Spark)

Practice: Hadoop vs. Spark

Lesson 13.4Big Data Technologies (Hadoop, Spark)

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9 questions

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5 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
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What type of processing is Hadoop primarily designed for?
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Think about what Hadoop processes over time.
Question 2.
What does Spark primarily use for fast data handling?
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Consider how data is stored during processing.
3Question 3.
What processing type is Hadoop primarily suited for?
- Real-time
- Batch
- Both
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Think about how data is processed over time.
4Question 4.
Apache Spark offers better performance than Hadoop due to which feature?
- True
- False
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What method does Spark use to handle data during processing?
Question 5.
Suppose you are tasked with building a data warehousing solution for a large retail company that performs both historical data analysis and needs real-time updates on customer interactions. Which technology would you choose? Justify your selection.
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Consider the processing needs and customer interaction speed.
Question 6.
You have been given a dataset of millions of images for a machine learning project. Which of the two frameworks would provide better capabilities for iterative learning tasks, and why?
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Look at the performance characteristics of both frameworks.

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