Exception Handling – Real-time Systems MCQs

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1. What is the main purpose of exception handling in real-time systems?
(A) To reduce CPU idle exclusively
(B) To manage and respond to unexpected errors or events without crashing the system
(C) To perform batch processing only
(D) To ignore timing constraints

2. In real-time systems, exceptions can be caused by:
(A) Memory-only tasks
(B) CPU idle exclusively
(C) Disk batch-only failures
(D) Hardware faults, software errors, or external events

3. Synchronous exceptions occur:
(A) CPU idle exclusively
(B) As a direct result of executing a specific instruction
(C) Randomly without cause
(D) Memory-only triggers

4. Asynchronous exceptions occur:
(A) Due to external events unrelated to the current instruction
(B) CPU idle exclusively
(C) Synchronously with execution
(D) Memory-only faults

5. Ada supports exception handling using:
(A) The exception block with raise and when clauses
(B) CPU idle exclusively
(C) Disk batch-only blocks
(D) Memory-only signals

6. Real-time Java handles exceptions using:
(A) CPU idle exclusively
(B) Try-catch-finally blocks, similar to standard Java
(C) Disk batch-only handling
(D) Memory-only error blocks

7. A key challenge in real-time exception handling is:
(A) Handling errors predictably without violating deadlines
(B) CPU idle exclusively
(C) Disk batch-only tasks
(D) Memory-only delays

8. Fault-tolerant real-time systems use exception handling to:
(A) Recover gracefully and continue operation after errors
(B) CPU idle exclusively
(C) Disk batch-only recovery
(D) Memory-only operations

9. Recovery blocks in exception handling are used to:
(A) CPU idle exclusively
(B) Execute alternative code if the primary code fails
(C) Disk batch-only fallback
(D) Memory-only blocks

10. Watchdog timers help exception handling by:
(A) Disk batch-only monitoring
(B) CPU idle exclusively
(C) Detecting task or system hangs and triggering corrective action
(D) Memory-only safety

11. In real-time systems, exception handling should be:
(A) Fast, predictable, and bounded in execution time
(B) CPU idle exclusively
(C) Disk batch-only
(D) Memory-only

12. Priority-based exception handling ensures:
(A) Memory-only handling
(B) CPU idle exclusively
(C) Disk batch-only events
(D) Critical exceptions are handled before less important ones

13. Exception handlers may need access to:
(A) System state and relevant task context for recovery
(B) CPU idle exclusively
(C) Disk batch-only state
(D) Memory-only data

14. Asynchronous event handlers in real-time Java are used to:
(A) Disk batch-only events
(B) CPU idle exclusively
(C) Handle external signals and interrupts without blocking threads
(D) Memory-only signals

15. Exception propagation allows:
(A) Memory-only exceptions
(B) CPU idle exclusively
(C) Disk batch-only propagation
(D) An exception to be passed from one task or module to another for handling

16. Exception handling contributes to real-time system reliability by:
(A) Preventing system crashes and enabling graceful recovery
(B) CPU idle exclusively
(C) Disk batch-only recovery
(D) Memory-only stability

17. Nested exception handling allows:
(A) Handling exceptions within another exception handler
(B) CPU idle exclusively
(C) Disk batch-only nesting
(D) Memory-only nesting

18. In Ada, raise is used to:
(A) CPU idle exclusively
(B) Trigger an exception explicitly
(C) Disk batch-only raise
(D) Memory-only error

19. In real-time systems, it is critical that exception handling:
(A) Disk batch-only execution
(B) CPU idle exclusively
(C) Does not violate timing constraints or system deadlines
(D) Memory-only checks

20. The main advantage of proper exception handling in real-time systems is:
(A) Memory-only efficiency
(B) CPU idle exclusively
(C) Disk batch-only optimization
(D) Ensuring predictable, safe, and fault-tolerant system operation