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Which of the following is the best description of spike testing?
See the explanation below.
Spike testing is a type of performance testing that evaluates how a system responds to sudden, extreme increases or decreases in load. It is designed to simulate unexpected surges in user activity or workload, such as flash sales, viral events, or cyberattacks.
Option A (Gradual load increase testing) describes load testing, not spike testing.
Option B (Handling expected peak load) describes stress testing, which pushes the system to or beyond its limits but does not focus on sudden changes.
Option C (Meeting future efficiency requirements) relates to capacity planning rather than spike testing.
Spike testing helps to identify system bottlenecks, resource allocation issues, and performance degradation when traffic surges unexpectedly.
Which of the following is a key reason to include ramp-up and ramp-down periods in a performance test?
See the explanation below.
A ramp-up period in a performance test gradually increases load over time, and a ramp-down period does the opposite. This prevents sudden surges in system load, making test results more realistic.
Option A (Ensuring transactions complete in a time window) is incorrect because ramp-up/down periods do not control transaction timing.
Option C (Providing a buffer for slow transactions) is incorrect because ramp-up/down is about load balancing, not transaction timing.
Option D (Keeping all virtual users active throughout the test) is incorrect because ramp-down periods reduce users gradually.
How does a load management console aid performance testing?
See the explanation below.
A load management console is a tool that helps testers analyze and visualize test results, providing performance reports, graphs, and insights. This aids in understanding bottlenecks, response times, and throughput trends.
Option A (Simulating user behavior) is incorrect; load generators handle simulation.
Option B (Senior management monitoring) is not the primary role of a test console.
Option D (Emulating virtual users) is incorrect; that is the job of load injectors.
Which of the following is typically the result of oversaturation of system resources during performance testing?
See the explanation below.
When system resources (e.g., CPU, RAM, I/O) are oversaturated, the system becomes overloaded, leading to increased response times and poor application performance.
Option A (Gradual improvement of response time) is incorrect because performance degrades under heavy load.
Option C (Error logging decreases) is unlikely; in most cases, errors increase when systems reach their limits.
Option D (Database size decreases) is unrelated to performance saturation.
You have run a load test. When examining the metrics, you see that the virtual users experienced many timeouts and excessive wait times. The system throughput metrics exceeded expected results, even during peak times.
Based on your analysis, what conclusion should you draw?
See the explanation below.
If timeouts and excessive wait times occur, but throughput is high, this suggests that the system is unable to process requests fast enough. This points to slow processing speed due to CPU bottlenecks, memory limitations, or inefficient database queries.
Option A (Network infrastructure investigation) would be relevant if throughput was low or variable.
Option C (Impatient virtual users) is irrelevant; virtual users follow scripted behaviors.
Option D (New test data) does not address the core issue.
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