Practice Pregel API (Vertex-centric Computation) - 2.5.2.2 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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2.5.2.2 - Pregel API (Vertex-centric Computation)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main purpose of the Pregel API?

πŸ’‘ Hint: Think of how graphs can be processed in parts.

Question 2

Easy

Define superstep in the context of Pregel.

πŸ’‘ Hint: Recall the term 'iteration'.

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 the Pregel API in Apache Spark?

  • Data storage
  • Vertex-centric computation
  • SQL processing

πŸ’‘ Hint: Remember its role in graph algorithms.

Question 2

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

  • True
  • False

πŸ’‘ Hint: Consider how activation is determined.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

πŸ’‘ Hint: Focus on how to update the vertex ID based on incoming messages.

Question 2

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

πŸ’‘ Hint: Think about traversing through graph connections and updating clusters.

Challenge and get performance evaluation