Practice Graph Processing (Basic) - 1.3.4 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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1.3.4 - Graph Processing (Basic)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define what a vertex is in graph theory.

πŸ’‘ Hint: Think about entities in a relationship.

Question 2

Easy

What is the Map phase in MapReduce?

πŸ’‘ Hint: Focus on what happens to the input 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 primary function of a vertex in a graph?

  • Represent relationships
  • Represent entities
  • None of the above

πŸ’‘ Hint: Think about what each point in a graph stands for.

Question 2

True or False: MapReduce is only suitable for simple tasks and cannot be used for iterative computations.

  • True
  • False

πŸ’‘ Hint: Reflect on how iterations work in processing frameworks.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a simple MapReduce job that takes a graph as input and outputs the degree of each vertex.

πŸ’‘ Hint: Remember how to emit key-value pairs in your Map function.

Question 2

Describe how you could modify your MapReduce workflow to handle a directed graph.

πŸ’‘ Hint: Focus on how the direction of edges impacts your counts.

Challenge and get performance evaluation