What This Document Is
This document is a final examination for CS 736, a graduate-level course in Software Performance Engineering offered at West Virginia University. It assesses a student’s comprehensive understanding of the principles and techniques used to analyze, predict, and improve the performance of software systems. The exam focuses on applying theoretical knowledge to practical scenarios within the field of performance engineering.
Why This Document Matters
This examination is crucial for students enrolled in, or who have recently completed, a Software Performance Engineering course. It serves as a valuable self-assessment tool for anyone preparing for a similar rigorous evaluation. Professionals working in software development, system administration, or performance testing roles can also benefit from reviewing the scope of topics covered to identify areas for professional development. Understanding the breadth of concepts tested will help solidify your grasp of performance engineering fundamentals.
Common Limitations or Challenges
This document *is* the assessment itself, and therefore does not provide instructional content or detailed explanations. It will not teach you the material; rather, it expects you to demonstrate existing knowledge. Access to this document alone will not guarantee success – it requires prior study of course materials and a strong understanding of performance engineering principles. The specific questions and their difficulty level are representative of the course’s expectations, but do not constitute a complete study guide.
What This Document Provides
* A range of questions designed to evaluate understanding of performance measurement methodologies (e.g., event-based vs. sampling).
* Problem sets requiring analysis of performance benchmarks and their application to real-world systems.
* Scenarios exploring the impact of system architecture choices (like redundancy) on key performance indicators.
* Questions relating to the performance characteristics of specific system types, such as web servers and cloud computing environments.
* A requirement to analyze and synthesize information from external research papers related to cloud performance evaluation.
* Clear instructions regarding exam submission and academic integrity expectations.
