Practice GraphX: Graph-Parallel Computation in Spark - 2.5 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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2.5 - GraphX: Graph-Parallel Computation in Spark

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is GraphX primarily used for?

πŸ’‘ Hint: Think about graph-related applications.

Question 2

Easy

What are vertices in a graph?

πŸ’‘ Hint: Remember, they are the building blocks.

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 does GraphX primarily focus on?

  • A. Data Storage
  • B. Graph-Parallel Computation
  • C. User Authentication
  • D. Real-Time Data Streaming

πŸ’‘ Hint: Think about the core capabilities of GraphX.

Question 2

True or False: In a Property Graph, edges cannot have associated properties.

  • True
  • False

πŸ’‘ Hint: Consider how graphs represent relationships.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a graph representation for a transportation network using GraphX, detailing how you would define vertices and edges, including their properties.

πŸ’‘ Hint: Consider how to model movement and connections.

Question 2

Implement a simple algorithm using the Pregel API to calculate the degree of each vertex in a graph.

πŸ’‘ Hint: How can vertices communicate their connections?

Challenge and get performance evaluation