Practice Graphx Api: Combining Flexibility And Efficiency (2.5.2) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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GraphX API: Combining Flexibility and Efficiency

Practice - GraphX API: Combining Flexibility and Efficiency

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define GraphX.

💡 Hint: Think about Spark's capabilities in handling graphs.

Question 2 Easy

What is a vertex?

💡 Hint: Consider what represents a point in a graph.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does GraphX specialize in?

Graph processing
Image processing
Text processing

💡 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

💡 Hint: Think about the operations and processing involved.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

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

Challenge 2 Hard

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

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

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Reference links

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