Dimensions Infotech Performance Test Engineer Interview Questions and Answers

One challenge I faced during scripting was handling dynamic elements on the webpage.

• Difficulty in identifying unique locators for dynamic elements

• Implementing logic to wait for elements to load before interacting with them

• Handling dynamic data inputs during script execution

Monitor server performance metrics like CPU usage, memory usage, disk I/O, network traffic, response time, and error rates.

• CPU usage

• Memory usage

• Disk I/O

• Network traffic

• Response time

• Error rates

Performance Testing Life cycle involves planning, preparation, execution, analysis, and reporting.

• 1. Planning: Define objectives, select tools, and create test plan.

• 2. Preparation: Set up test environment, create test scripts, and configure monitoring.

• 3. Execution: Run tests, monitor performance metrics, and collect data.

• 4. Analysis: Analyze results, identify bottlenecks, and optimize performance.

• 5. Reporting: Generate...read more

Correlation is used to handle dynamic values in scripts, while Parameterization is used to pass different values to the script.

• Correlation is used to extract dynamic values from server responses and replace them in subsequent requests.

• Parameterization is used to pass different sets of data to the script for testing different scenarios.

• Correlation is important for maintaining session integrity and ensuring accurate test...read more

Different types of performance tests include load testing, stress testing, spike testing, and endurance testing.

• Load testing: Simulates expected load on the system to measure performance.

• Stress testing: Pushes the system beyond its limits to identify breaking points.

• Spike testing: Tests how the system handles sudden spikes in traffic.

• Endurance testing: Checks system performance over an extended period of time.

Performance testing is a type of software testing that evaluates the speed, responsiveness, and stability of an application under various load conditions.

• Measures the system's response time, throughput, and resource utilization

• Identifies performance bottlenecks and areas for optimization

• Types include load testing, stress testing, and scalability testing

• Examples: simulating thousands of users accessing a website simulta

Correlation is the process of extracting dynamic values from server responses and passing them to subsequent requests. Parameterization is the process of replacing hard-coded values in scripts with variables.

• Correlation involves identifying and capturing dynamic values such as session IDs, tokens, or timestamps from server responses.

• Parameterization involves replacing hard-coded values in scripts with variables to make...read more

API testing is a type of software testing that involves testing APIs directly to ensure they meet functionality, reliability, performance, and security requirements.

• API testing involves testing the functionality, reliability, performance, and security of APIs.

• It focuses on verifying that the API meets the requirements specified in its design.

• API testing can be done manually or using automated tools.

• Examples of API test

Thread group is a collection of threads that represent a group of virtual users in a performance test.

• Thread group defines the number of users and the ramp-up period for a performance test.

• Each thread in a thread group represents a virtual user that simulates real user behavior.

• Thread group allows for configuring the concurrency and distribution of virtual users during a test.

• Example: In JMeter, a Thread Group element ...read more

Aggregate report is a summary of performance test results showing key metrics like average response time, throughput, error rate, etc.

• Aggregate report provides a high-level summary of performance test results

• It includes metrics like average response time, throughput, error rate, and percentiles

• Helps in identifying performance bottlenecks and areas for improvement

• Commonly used in tools like JMeter to analyze performance

View Result Tree is a listener in JMeter that displays the results of performance tests in a tree format.

• View Result Tree is used to view the response data, request and response headers, and other details of each sample in a performance test.

• It can be used to debug issues in the test script by analyzing the details of each request and response.

• View Result Tree can also be used to view and analyze the performance metric...read more