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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the PageRank algorithm calculate?
💡 Hint: Think about how webpages relate to each other.
Question 2
Easy
What is the damping factor typically set to in PageRank?
💡 Hint: It's a value between 0 and 1.
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 the primary goal of the PageRank algorithm?
- To list all web pages
- To rank web pages by importance
- To store web pages data
💡 Hint: Think about why search engines use PageRank.
Question 2
True or False: PageRank uses RDDs for processing data.
- True
- False
💡 Hint: Consider the framework we are using.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Devise a complete implementation plan for the PageRank algorithm using an example dataset of your choosing. Explain how you would optimize this process in Spark.
💡 Hint: Consider the dataset you are using and how to organize the links among pages.
Question 2
Critically evaluate the impact of varying the damping factor on the results of the PageRank algorithm. Create a hypothesis on how changes might affect the ranking of specific types of pages.
💡 Hint: Think about how users behave while browsing and how their actions might reflect on web page rankings.
Challenge and get performance evaluation