Practice Graph Processing (basic) (1.3.4) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Graph Processing (Basic)

Practice - Graph Processing (Basic)

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define what a vertex is in graph theory.

💡 Hint: Think about entities in a relationship.

Question 2 Easy

What is the Map phase in MapReduce?

💡 Hint: Focus on what happens to the input data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary function of a vertex in a graph?

Represent relationships
Represent entities
None of the above

💡 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

💡 Hint: Reflect on how iterations work in processing frameworks.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Remember how to emit key-value pairs in your Map function.

Challenge 2 Hard

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

💡 Hint: Focus on how the direction of edges impacts your counts.

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Reference links

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