Q. Why might system scalability be a concern in groupware systems?

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Q. What is one of the most disastrous problems in a client-server-based groupware system?

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Q. What is one common solution for recovering data after a server crash in a groupware system?

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Q. How can a client-server-based system ensure that the server remains robust in the face of client failures?

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Q. What should the server do when a client fails in a client-server architecture?

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Q. What is the purpose of resynchronization in a groupware system after a workstation/client recovers from a failure?

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Q. In a replicated architecture, what additional challenge arises when one replicate detects a failure before the others?

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Q. What type of application failures may be more difficult to detect as they don't crash the application, but lead to inconsistencies in data structures?

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Q. What programming approach helps ensure algorithm correctness by proving its correctness using formal methods?

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Q. What can be done to minimize the impact of errors in data consistency between clients and the server in a groupware system?

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Q. What is the primary concern when dealing with unforeseen sequences of events in a distributed system?

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Q. What is a common scenario that can lead to a deadlock in a distributed system?

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Q. What programming practice can help avoid deadlock in a distributed system?

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Q. What is a key consideration when making assumptions about the ordering of incoming events in a groupware system?

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Q. Which factor can affect the form in which messages sent from one computer arrive at another in a groupware system?

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Q. What can be done to ensure consistent message interpretation in a groupware system where message length may vary?

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Q. What programming approach can help avoid algorithmic errors when scaling up a groupware system to larger numbers of users?

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Q. Why is it important to take into account the future scaling of a system during its initial design?

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Q. What practice should be followed when early versions of a system have fixed-size assumptions that may not hold in the future?

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Q. How can a system handle the situation when the number of open files/network connections reaches its limit?

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