Practice High Computational Cost - 7.5.2 | 7. Fault Modeling and Simulation | Design for Testability
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does computational cost refer to?

💡 Hint: Think about what you need when running a complex simulation.

Question 2

Easy

What is one way to reduce computational costs?

💡 Hint: Imagine if you had multiple computers to help you.

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 likely consequence of high computational costs in simulations?

  • Delayed development timelines
  • Increased accuracy
  • Reduced safety

💡 Hint: Consider the time it takes for necessary tests.

Question 2

True or False: Optimization always leads to improved accuracy in simulations.

  • True
  • False

💡 Hint: Think about the meaning of 'trade-off' when optimizing.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

In an aerospace simulation involving hundreds of faults, you find that the process is taking much longer than expected. What steps would you take to optimize this simulation?

💡 Hint: Think about which faults could produce the highest impact on safety.

Question 2

You are tasked with developing a new simulation framework for an automotive company. What considerations should you keep in mind regarding computational costs?

💡 Hint: Think of the implications of missing a critical fault in a design.

Challenge and get performance evaluation