PwC Performance Tester Interview Questions and Answers

Scripting challenges include dynamic parameters, correlation, and handling complex scenarios.

• Dynamic parameters require capturing and replacing values in scripts

• Correlation involves identifying and handling dynamic values in responses

• Complex scenarios require careful planning and scripting to ensure accurate simulation

• Debugging and troubleshooting can be time-consuming and require attention to detail

I have worked on various monitoring tools such as JMeter, LoadRunner, and Gatling.

• JMeter for load testing web applications

• LoadRunner for performance testing client-server applications

• Gatling for stress testing and real-time monitoring

A performance test plan is a document that outlines the objectives, scope, approach, and resources required for conducting performance testing.

• Defines the goals and objectives of the performance testing

• Specifies the scope of the testing, including the systems, components, and functionalities to be tested

• Outlines the test approach, including the tools, techniques, and methodologies to be used

• Identifies the performance m...read more

Test results report collates metrics related to performance, load, stress, and scalability testing.

• Response time

• Throughput

• Error rate

• CPU usage

• Memory usage

• Network usage

• Concurrent users

• Transactions per second

• Peak response time

• Peak throughput

• Peak error rate

I have executed load, stress, endurance, spike and scalability tests.

• Load testing to check system performance under normal and peak load conditions.

• Stress testing to identify system breaking point and measure its recovery time.

• Endurance testing to check system performance under sustained load conditions.

• Spike testing to check system performance under sudden load spikes.

• Scalability testing to check system performance un...read more

Workload modeling involves designing a realistic simulation of user behavior and system usage.

• Identify user personas and their typical actions

• Determine the frequency and duration of each action

• Consider peak usage times and seasonal variations

• Use real-world data and historical trends to inform the model

• Validate the model through testing and iteration