Practice Pregel Api (vertex-centric Computation) (2.5.2.2) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Pregel API (Vertex-centric Computation)

Practice - Pregel API (Vertex-centric Computation)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the main purpose of the Pregel API?

💡 Hint: Think of how graphs can be processed in parts.

Question 2 Easy

Define superstep in the context of Pregel.

💡 Hint: Recall the term 'iteration'.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary function of the Pregel API in Apache Spark?

Data storage
Vertex-centric computation
SQL processing

💡 Hint: Remember its role in graph algorithms.

Question 2

True or False: Supersteps in Pregel allow all vertices to operate simultaneously.

True
False

💡 Hint: Consider how activation is determined.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design an algorithm to compute the connected components of a graph using the Pregel API. Outline the steps involved.

💡 Hint: Focus on how to update the vertex ID based on incoming messages.

Challenge 2 Hard

How would you modify an existing Pregel algorithm to identify strongly connected components? Suggest a method and explain your reasoning.

💡 Hint: Think about traversing through graph connections and updating clusters.

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Reference links

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