Practice Graph Operators - 2.5.2.1 | Week 8: Cloud Applications: MapReduce, Spark, and Apache Kafka | Distributed and Cloud Systems Micro Specialization
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2.5.2.1 - Graph Operators

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does the GraphX component represent in a Spark application?

πŸ’‘ Hint: Remember the focus of the component.

Question 2

Easy

Explain the purpose of the subgraph operator.

πŸ’‘ Hint: Think about what it does to the vertices and edges.

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 GraphX primarily used for?

  • Dataframe operations
  • Graph processing
  • Machine Learning

πŸ’‘ Hint: Think about the name.

Question 2

True or False: The subgraph operator removes edges without filtering vertices.

  • True
  • False

πŸ’‘ Hint: Focus on the filtering nature of the operation.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a small graph representing a social network and outline how you would use GraphX operators to analyze user connections and influence.

πŸ’‘ Hint: Think about what vertices and edges represent in your graph.

Question 2

Illustrate an iterative algorithm using the Pregel API for calculating shortest paths in a weighted graph.

πŸ’‘ Hint: Consider how messages document paths from multiple vertices.

Challenge and get performance evaluation