As MTTR drops to zero, what happens to availability? Does this seem like a situation that might be defined in terms of reality?

What is the use case for LDAP if it can be implemented on a database system?

In a database for an airline, "snapshot isolation" should be considered. Is a strategy that does not permit serialization a realistic alternative if airlines can enhance their overall performance?

The same concurrency management issues apply to distributed database systems as they do to other distributed systems. Is it necessary to use 2PL (Two-phase locking) concurrency control techniques for a system that does not have any duplicated components? Explain.

How to answers below question for 'ATM Transaction' based on object oriented modeling: a. Case: part of that system will be modeled ?b. Specifications: concrete explanation about the flow to be modeled ?c. Identification of Actors/Roles ?d. Identify Paths (Alternative and Concurrent) ?e. Identify Node Objects ?f. Identify Exception Handling ?g. Final Charts ?

When the MTTR drops to zero, what does it signify for availability? Is it possible to define this situation in terms of reality?

In the context of a data network, how do dependability and availability function together? For these reasons, it is now considered antiquated. Should we be debating this issue at length?

What does it mean to have control over concurrency? In what ways does it contribute to the functioning of distributed systems? OR How can concurrency be handled while distributed transactions are being used? Explain.