Benchmarking – Real-time Systems MCQs

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1. What is the main purpose of benchmarking in real-time systems?
(A) To replace real-time operating systems
(B) To evaluate system performance under controlled and repeatable conditions
(C) To store historical logs without analysis
(D) To execute batch-only tasks

2. Benchmarking helps real-time system designers to:
(A) Memory-only analysis
(B) CPU idle exclusively
(C) Disk batch-only tasks
(D) Compare scheduling algorithms, hardware, and middleware performance

3. A common metric used in benchmarking real-time systems is:
(A) Memory-only access time
(B) CPU idle exclusively
(C) Disk batch-only latency
(D) Worst-case execution time (WCET)

4. Throughput in real-time system benchmarking measures:
(A) CPU idle exclusively
(B) The number of tasks or operations completed per unit time
(C) Disk batch-only transfer rate
(D) Memory-only processing speed

5. Response time benchmarking evaluates:
(A) CPU idle exclusively
(B) The time taken for a task to start execution after being triggered
(C) Disk batch-only access
(D) Memory-only latency

6. Latency in benchmarking refers to:
(A) Disk batch-only delay
(B) CPU idle exclusively
(C) Delay between an event occurrence and system response
(D) Memory-only response

7. Determinism benchmarking checks:
(A) CPU idle exclusively
(B) If the system produces predictable results under identical conditions
(C) Disk batch-only repeatability
(D) Memory-only predictability

8. Load testing in real-time systems benchmarks:
(A) CPU idle exclusively
(B) System behavior under high or maximum task loads
(C) Disk batch-only performance
(D) Memory-only throughput

9. Stress testing benchmarks:
(A) Memory-only stress
(B) CPU idle exclusively
(C) Disk batch-only stress
(D) System performance under extreme or abnormal conditions

10. Benchmarking real-time systems can identify:
(A) Bottlenecks, priority inversions, and deadline misses
(B) CPU idle exclusively
(C) Disk batch-only issues
(D) Memory-only conflicts

11. Synthetic benchmarks in real-time systems:
(A) Memory-only workloads
(B) CPU idle exclusively
(C) Disk batch-only synthetic tasks
(D) Use artificially generated workloads to test performance

12. Trace-driven benchmarking involves:
(A) CPU idle exclusively
(B) Using real execution traces to simulate workload and measure performance
(C) Disk batch-only traces
(D) Memory-only events

13. Benchmarking helps in selecting:
(A) CPU idle exclusively
(B) Optimal scheduling policies, hardware platforms, and middleware solutions
(C) Disk batch-only configurations
(D) Memory-only solutions

14. One limitation of benchmarking in real-time systems is:
(A) Memory-only restrictions
(B) CPU idle exclusively
(C) Disk batch-only limitations
(D) Results depend on test conditions and may not reflect all real scenarios

15. Real-time system benchmarking metrics typically include:
(A) CPU idle exclusively
(B) Latency, jitter, throughput, response time, and resource utilization
(C) Disk batch-only metrics
(D) Memory-only metrics

16. Jitter in benchmarking measures:
(A) CPU idle exclusively
(B) Variation in task response times over multiple executions
(C) Disk batch-only variation
(D) Memory-only deviation

17. Benchmarking results can be used to:
(A) Memory-only improvements
(B) CPU idle exclusively
(C) Disk batch-only optimizations
(D) Optimize system design and improve real-time performance

18. Hardware benchmarking in real-time systems evaluates:
(A) CPU idle exclusively
(B) Processor, memory, and I/O performance under real-time workloads
(C) Disk batch-only performance
(D) Memory-only metrics

19. Middleware benchmarking focuses on:
(A) Disk batch-only middleware
(B) CPU idle exclusively
(C) Message passing, task coordination, and resource management efficiency
(D) Memory-only efficiency

20. The main advantage of benchmarking in real-time systems is:
(A) Disk batch-only verification
(B) CPU idle exclusively
(C) Ensuring predictable, efficient, and reliable system performance before deployment
(D) Memory-only analysis