Practice GraphX - 2.3.4 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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2.3.4 - GraphX

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define a vertex and an edge in the context of GraphX.

πŸ’‘ Hint: Think about how people can be connected through friendships.

Question 2

Easy

What is GraphX primarily used for?

πŸ’‘ Hint: Consider its role in analyzing relationships in data.

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 enable users to do?

  • Store large datasets
  • Analyze graph structures
  • Visualize data

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

Question 2

True or False: In a property graph, both vertices and edges can have properties.

  • True
  • False

πŸ’‘ Hint: Recall the definition of a property graph.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset representing a social network using GraphX, describe how you would implement PageRank to determine influential users. What considerations would you make regarding the number of iterations?

πŸ’‘ Hint: Think about the meaning of influence in social terms.

Question 2

How would you optimize graph storage in GraphX when handling massive datasets, and what techniques could you use to ensure efficient communication between nodes?

πŸ’‘ Hint: Consider distributed computing principles to optimize processing.

Challenge and get performance evaluation