Practice When To Use Spark? (13.5.2) - Big Data Technologies (Hadoop, Spark)

Practice: When to Use Spark?

Lesson 13.5.2Big 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.
What is Apache Spark primarily used for?
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Think about data speed and flexibility.
Question 2.
Name one advantage of using Spark for real-time analytics.
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Consider response times.
3Question 3.
When should you primarily use Apache Spark?
- When high-speed processing is needed
- For long-term archival storage
- When data isn't real-time
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Think of scenarios requiring immediate analysis.
4Question 4.
True or False: Spark uses on-disk processing which is slower than in-memory processing.
- True
- False
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Recall the distinction between methods in Hadoop.
Question 5.
Consider a company that needs both real-time fraud detection and historical transaction analysis. Discuss how Spark could address these needs together.
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Think of integrating streaming with batch processing.
Question 6.
Analyze a situation where graph processing with Spark could significantly enhance the insights derived from a social media platform.
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Consider the network of interactions as a graph structure.

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