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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is Apache Spark primarily used for?
π‘ Hint: Think about data speed and flexibility.
Question 2
Easy
Name one advantage of using Spark for real-time analytics.
π‘ Hint: Consider response times.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
When should you primarily use Apache Spark?
π‘ Hint: Think of scenarios requiring immediate analysis.
Question 2
True or False: Spark uses on-disk processing which is slower than in-memory processing.
π‘ Hint: Recall the distinction between methods in Hadoop.
Solve and get performance evaluation
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.
π‘ 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.
π‘ Hint: Consider the network of interactions as a graph structure.
Challenge and get performance evaluation