1. What is the main goal of adaptive real-time systems?
(A) To replace real-time operating systems
(B) To execute tasks sequentially without adjustment
(C) To store logs without analysis
(D) To dynamically adjust behavior and resource allocation in response to changing conditions
2. Adaptive real-time systems are particularly useful when:
(A) CPU is always idle
(B) Workloads, task priorities, or resource availability vary at runtime
(C) Disk batch-only tasks are fixed
(D) Memory-only operations remain static
3. One common mechanism in adaptive systems is:
(A) Memory-only monitoring
(B) CPU idle exclusively
(C) Disk batch-only loops
(D) Feedback control loops to monitor performance and adjust scheduling
4. Adaptive scheduling can involve:
(A) CPU idle exclusively
(B) Changing task priorities, execution rates, or resource allocation dynamically
(C) Disk batch-only scheduling
(D) Memory-only adjustments
5. One challenge in adaptive real-time systems is:
(A) CPU idle exclusively
(B) Maintaining predictability while adapting to runtime changes
(C) Disk batch-only operations
(D) Memory-only constraints
6. Adaptive systems often use:
(A) Memory-only metrics
(B) CPU idle exclusively
(C) Disk batch-only monitoring
(D) Monitoring of response times, deadlines, and resource usage
7. Load variation handling in adaptive systems helps:
(A) Disk batch-only load handling
(B) CPU idle exclusively
(C) Adjust task execution to prevent missed deadlines under variable load
(D) Memory-only adjustments
8. Power-aware adaptive real-time systems can:
(A) Disk batch-only power management
(B) CPU idle exclusively
(C) Adjust processor frequency and voltage based on workload and performance requirements
(D) Memory-only energy control
9. One advantage of adaptive real-time systems is:
(A) Disk batch-only efficiency
(B) CPU idle exclusively
(C) Better resource utilization under dynamic operating conditions
(D) Memory-only optimization
10. Predictive adaptation in real-time systems uses:
(A) Historical data to anticipate future workload and adjust resources proactively
(B) CPU idle exclusively
(C) Disk batch-only predictions
(D) Memory-only forecasting
11. Adaptive real-time systems are commonly applied in:
(A) Multimedia streaming, autonomous vehicles, and IoT applications
(B) CPU idle exclusively
(C) Disk batch-only systems
(D) Memory-only embedded devices
12. Performance feedback in adaptive systems can trigger:
(A) CPU idle exclusively
(B) Dynamic task rescheduling or resource reallocation
(C) Disk batch-only adjustments
(D) Memory-only reallocation
13. One limitation of adaptive real-time systems is:
(A) CPU idle exclusively
(B) Complexity in design and analysis due to runtime changes
(C) Disk batch-only complexity
(D) Memory-only overhead
14. Adaptive QoS management ensures:
(A) CPU idle exclusively
(B) Tasks meet deadlines and performance constraints despite changing system conditions
(C) Disk batch-only QoS
(D) Memory-only reliability
15. Feedback-based adaptation can involve:
(A) Monitoring task completion times and adjusting execution accordingly
(B) CPU idle exclusively
(C) Disk batch-only monitoring
(D) Memory-only adjustment
16. Adaptive real-time systems often implement:
(A) Hybrid scheduling combining static and dynamic approaches
(B) CPU idle exclusively
(C) Disk batch-only static scheduling
(D) Memory-only dynamic scheduling
17. One goal of adaptive load management is:
(A) CPU idle exclusively
(B) Preventing deadline misses under variable and unpredictable workloads
(C) Disk batch-only workload control
(D) Memory-only task adjustment
18. Adaptive systems can use slack time in scheduling to:
(A) Disk batch-only slack
(B) CPU idle exclusively
(C) Reduce energy consumption or adjust execution rate without missing deadlines
(D) Memory-only slack
19. Runtime adaptation in real-time systems requires:
(A) Continuous monitoring, decision-making, and resource adjustment
(B) CPU idle exclusively
(C) Disk batch-only updates
(D) Memory-only monitoring
20. The main advantage of adaptive real-time systems is:
(A) CPU idle exclusively
(B) Maintaining performance, efficiency, and deadline adherence under changing conditions
(C) Disk batch-only reliability
(D) Memory-only optimization