Practice Big Data Technologies (hadoop, Spark) (13) - Big Data Technologies (Hadoop, Spark)

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11 questions

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4 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
5 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Define Big Data.
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Think about the characteristics that define Big Data.
Question 2.
What does HDFS stand for?
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Consider the storage aspect of Hadoop.
3Question 3.
What does 'Velocity' refer to in Big Data?
- The size of data
- The speed of data generation
- The type of data
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Think about the pace of data influx.
4Question 4.
Apache Spark primarily processes data in which way?
- True
- False
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Recall how Spark handles data compared to Hadoop.
Question 5.
Describe a scenario where Hadoop might be the preferred technology over Spark and explain why.
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Think about situations requiring less real-time processing and more reliable storage.
Question 6.
How can integrating Hadoop with Spark improve data processing capabilities?
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Consider storage and processing dynamics.

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