Practice Mapper Function Signature - 1.2.1 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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1.2.1 - Mapper Function Signature

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the primary role of the Mapper function in MapReduce?

πŸ’‘ Hint: Think about the MapReduce workflow.

Question 2

Easy

Define what an intermediate key-value pair is.

πŸ’‘ Hint: Consider it as an output of the Mapper.

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 output of the Mapper function?

  • Intermediate key-value pairs
  • Direct output files
  • Function status logs

πŸ’‘ Hint: Consider what data gets passed to the Reducer.

Question 2

True or False: A pure function in MapReduce can have side effects that affect other tasks.

  • True
  • False

πŸ’‘ Hint: Think about how tasks communicate.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a dataset of lines of text. Design a Mapper function that counts occurrences of each character in the text, specifying how the output would be structured.

πŸ’‘ Hint: Remember to think about both the input and expected outputs.

Question 2

How would you modify a standard Mapper function if the input data was very large? What optimizations could you implement?

πŸ’‘ Hint: Think about how Mappers can break down tasks for efficiency.

Challenge and get performance evaluation