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I applied via Referral and was interviewed before Jan 2023. There was 1 interview round.
To handle 1 million users during load test, we need to consider infrastructure scalability, performance optimization, and distributed load testing.
Ensure the infrastructure can handle the load by scaling up servers, databases, and network resources.
Optimize the application's performance by identifying and resolving bottlenecks in code, database queries, and external dependencies.
Implement distributed load testing using...
What people are saying about ZS
I applied via campus placement at KIIT University, Bhuvaneshwar and was interviewed in Sep 2024. There was 1 interview round.
I am a performance analyst with a background in data analysis and reporting.
Experienced in analyzing performance metrics and identifying trends
Proficient in using data visualization tools like Tableau and Power BI
Skilled in creating reports and presentations for stakeholders
Strong attention to detail and ability to communicate complex data effectively
I applied via Referral and was interviewed in Dec 2023. There were 2 interview rounds.
In JMeter, elements are executed in the order they appear in the test plan.
Elements in JMeter are executed sequentially from top to bottom in the test plan.
The order of elements can be adjusted by moving them up or down in the test plan.
Examples of elements in JMeter include Thread Group, Sampler, Listener, and Controller.
To capture the whole response data in JMeter, use the View Results Tree listener.
Add a View Results Tree listener to the test plan
Run the test and view the response data in the listener
You can also save the response data to a file for further analysis
One challenge faced was inadequate hardware resources, which was resolved by optimizing test scripts and using cloud-based load generators.
Inadequate hardware resources led to performance bottlenecks
Optimized test scripts to reduce resource consumption
Utilized cloud-based load generators to distribute load and improve performance
Exam is based out of quants,java,SQL(everysection 15que)
Prepare some topics in google
I applied via LinkedIn and was interviewed in Feb 2021. There were 3 interview rounds.
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...
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...
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
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