Practice When to Use Spark? - 13.5.2 | 13. Big Data Technologies (Hadoop, Spark) | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Apache Spark primarily used for?

💡 Hint: Think about data speed and flexibility.

Question 2

Easy

Name one advantage of using Spark for real-time analytics.

💡 Hint: Consider response times.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

When should you primarily use Apache Spark?

  • When high-speed processing is needed
  • For long-term archival storage
  • When data isn't real-time

💡 Hint: Think of scenarios requiring immediate analysis.

Question 2

True or False: Spark uses on-disk processing which is slower than in-memory processing.

  • True
  • False

💡 Hint: Recall the distinction between methods in Hadoop.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a company that needs both real-time fraud detection and historical transaction analysis. Discuss how Spark could address these needs together.

💡 Hint: Think of integrating streaming with batch processing.

Question 2

Analyze a situation where graph processing with Spark could significantly enhance the insights derived from a social media platform.

💡 Hint: Consider the network of interactions as a graph structure.

Challenge and get performance evaluation