Practice Large-Scale Data Processing Frameworks - 12.2 | 12. Scalability & Systems | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What are the three steps of the MapReduce model?

πŸ’‘ Hint: Remember the M-S-R mnemonic.

Question 2

Easy

What does Apache Spark improve on compared to MapReduce?

πŸ’‘ Hint: Think about where Spark keeps its data.

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

What is the correct order of the MapReduce steps?

  • Map
  • Shuffle
  • Reduce
  • Shuffle
  • Reduce
  • Map
  • Reduce
  • Map
  • Shuffle

πŸ’‘ Hint: Recall the M-S-R sequence.

Question 2

True or False: Apache Spark processes data only on disk.

  • True
  • False

πŸ’‘ Hint: Think about where Spark retains its operational data.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Describe a scenario where using MapReduce would be inefficient. Explain your reasoning.

πŸ’‘ Hint: Consider scenarios that involve immediate data interactions.

Question 2

Design a data processing solution using both MapReduce and Spark. How would they complement each other?

πŸ’‘ Hint: Think about how different frameworks can solve specific aspects of the same problem.

Challenge and get performance evaluation