Practice Consistent States (Global Consistent Cut) - 3.2.2 | Module 5: Consensus, Paxos and Recovery in Clouds | Distributed and Cloud Systems Micro Specialization
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3.2.2 - Consistent States (Global Consistent Cut)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a global consistent state?

πŸ’‘ Hint: Think about what happens when messages are sent and received.

Question 2

Easy

What is the domino effect in distributed systems?

πŸ’‘ Hint: Consider cascading failures in a line of dominoes.

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 a global consistent state?

  • A snapshot of random process states
  • A snapshot that maintains causal relationships
  • A point where no messages are exchanged

πŸ’‘ Hint: Causality is key in ensuring that communication reflects actual events.

Question 2

True or False: The domino effect refers to the necessity of rollback across all processes if one fails.

  • True
  • False

πŸ’‘ Hint: Think about how one failure impacts the chain of events in distributed systems.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a scenario where multiple distributed processes fail simultaneously, outline the steps needed to maintain a consistent global state during recovery. Discuss potential pitfalls.

πŸ’‘ Hint: Consider how each process's actions impact the overall state.

Question 2

Discuss how the design of output commit protocols can impact system reliability in distributed systems. Provide a real-world example.

πŸ’‘ Hint: Think of real-world scenarios where transaction failures can lead to significant issues.

Challenge and get performance evaluation