Practice GraphX API: Combining Flexibility and Efficiency - 2.5.2 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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2.5.2 - GraphX API: Combining Flexibility and Efficiency

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define GraphX.

πŸ’‘ Hint: Think about Spark's capabilities in handling graphs.

Question 2

Easy

What is a vertex?

πŸ’‘ Hint: Consider what represents a point in a graph.

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 specialize in?

  • Graph processing
  • Image processing
  • Text processing

πŸ’‘ Hint: Consider what type of data structures it deals with.

Question 2

True or False: The Pregel API is used for handling static data.

  • True
  • False

πŸ’‘ Hint: Think about the operations and processing involved.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a small graph example with vertices for cities and edges for roads. Use GraphX to find the shortest path between two cities.

πŸ’‘ Hint: Consider how messages can be passed along the edges to update the shortest distance.

Question 2

Apply GraphX to identify clusters within the graph representation of a social network to find communities.

πŸ’‘ Hint: Focus on how adjustments to the state based on neighbor connections can yield meaningful clusters.

Challenge and get performance evaluation