Practice Integration And Use Cases (13.5) - Big Data Technologies (Hadoop, Spark)

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8 questions

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2 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.
When is Hadoop typically used?
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Think of its role in handling big data.
Question 2.
What is Apache Spark best known for?
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Recall its focus on speed.
3Question 3.
What is the primary advantage of using Hadoop?
- Real-time processing
- Cost-effective batch processing
- In-memory processing
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Recall its main features.
4Question 4.
True or False: Spark can only process data in batch mode.
- True
- False
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Think of Spark's versatility.
Question 5.
Design a scenario where a company could effectively use both Hadoop and Spark to improve their data processing pipeline.
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Consider how archiving and analytics can work together.
Question 6.
Compare the performance implications when using Hadoop for real-time data processing versus using Spark for the same task.
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Think about the strengths of each technology in processing speed.

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