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Performance Testing Interview Questions and Answers

Last Updated : 03 Sep, 2024 - prepared by name
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Oops Interview Questions for Freshers

1. what is performance testing

Performance testing measures the response time of system components under a specific workload. It primarily evaluates the response time for user activities. The purpose is to assess the system's overall performance under high load and stress conditions. This testing helps identify flaws in the system’s architecture, allowing for improvements in the application.

It involves the following:

  • Increasing the number of users interacting with the system.
  • Measuring the response time.
  • Repeating the load consistently.
  • Monitoring system components under a controlled load.
  • Providing robust analysis and reporting tools.

2. What is Concurrent User Hits In Load Testing?

When multiple users simultaneously trigger the same event in the application during a load test, it is called a concurrent user hit. Concurrency points are added to allow multiple, virtual users to interact with a single application event. If some virtual users reach the concurrency point earlier, they will wait for the others to run the scripts. Only when all users reach the concurrency point will they start sending requests?

3. List Out Some Common Performance Bottlenecks.

Some common performance bottlenecks include:

  • CPU Utilization
  • Memory Utilization
  • Network Utilization
  • Software Limitations
  • Disk Usage

4. What Is The Difference Between Performance Testing And Performance Engineering?

Performance Testing:

In performance testing, the testing cycle includes requirement gathering, scripting, execution, result sharing, and report generation.

Performance Engineering:

Performance engineering goes beyond performance testing. After execution, results are analyzed to identify performance bottlenecks, and solutions are provided to address the identified issues.

5. What is Distributed Load Testing?

Distributed Load Testing involves evaluating the application's performance when multiple users access it simultaneously. During this testing, test cases are executed to observe how the application behaves under concurrent user loads. The application's behaviour is monitored, recorded, and analyzed as multiple users interact with it at the same time. This approach uses multiple systems to simulate numerous users, overcoming the limitations of a single system’s capacity to generate numerous threads.

6. What are some of the common problems that occur due to poor

Bottlenecks are factors that hinder system performance, causing degradation. They arise due to coding errors or hardware issues that limit the application's throughput under specific workloads.

  • Poor Response Time: Response time is the duration an application takes to react to a request. For an optimal user experience, response times should be swift. Slow response times due to poor performance can frustrate users, causing them to turn to competitors.
  • Long Load Time: Load time refers to the time it takes for an application to launch. Ideally, this should be kept to a minimum. Low performance can result in increased load times.
  • Poor Scalability: Scalability issues prevent the software from effectively handling the anticipated user load, making it inaccessible to some users

7. What are the steps involved in conducting performance testing?

The following are the steps involved in the Performance Testing Life Cycle:

  1. Requirement Gathering: The first step is to identify all testing requirements after consulting with clients and developers. This helps define the scope and objectives of testing, allowing testers to plan accordingly
  2. Architecture Review: After gathering requirements and planning the testing, an architectural review of the system under test is performed
  3. Test Strategy: Once the review is complete, a detailed test strategy is outlined, taking into account the following criteria:
    • Application response time
    • Bottlenecks in both software and hardware
    • Optimal system configuration
    • System capacity and scalability
    • Percentage of resource utilization
    • Data volume and workload handling capacity of the application
  4. Test Design: After the strategy is ready, testers prepare automation scripts or set up the testing environment using the appropriate tools. They follow best practices and coding standards, creating various test scenarios covering both positive and negative cases.
  5. Test Execution: The prepared scripts are then simulated and executed.
  6. Results Analysis: The test execution results are analyzed and documented for tracking purposes. Key metrics are observed to identify and record any defects.
  7. Reports and Recommendations: The documented results are presented to the developers along with recommendations for resolving identified issues.

8. What is the metric that determines the data quantity sent to the client by the server at a specified time? How is it useful?

Throughput is a metric that measures the amount of data a server sends to a client in response to a request. It is typically expressed in units like requests per second, hits per second, or calls per day. In many cases, throughput is measured in bits per second. This value indicates the speed and bandwidth capacity of the network. Higher throughput signifies greater network capability.

9. What is load tuning?

Load tuning is a performance enhancement technique that involves making necessary modifications to software configurations based on the results obtained from load testing.

10. What kind of testing deals with subjecting the application to a huge amount of data?

This type of testing is referred to as volume testing. It involves subjecting the application to a large amount of data to assess how much it can handle while multiple users access it concurrently. Volume testing evaluates the system's performance to determine if it can manage a specified volume of data by introducing significant data increments, either gradually or continuously.

11. What is J Meter used for?

J Meter is a Java-based tool for performing load testing. It helps in analyzing and measuring the performance of web services with the use of plugins. The latest version is 5.4.2 which requires a Java 8+version to run.

Oops Interview Questions for 2 Years Experience

1. what is performance testing

Performance testing measures the response time of system components under a specific workload. It primarily evaluates the response time for user activities. The purpose is to assess the system's overall performance under high load and stress conditions. This testing helps identify flaws in the system’s architecture, allowing for improvements in the application.

It involves the following:

  • Increasing the number of users interacting with the system.
  • Measuring the response time.
  • Repeating the load consistently.
  • Monitoring system components under a controlled load.
  • Providing robust analysis and reporting tools.

2. What is Concurrent User Hits In Load Testing?

When multiple users simultaneously trigger the same event in the application during a load test, it is called a concurrent user hit. Concurrency points are added to allow multiple, virtual users to interact with a single application event. If some virtual users reach the concurrency point earlier, they will wait for the others to run the scripts. Only when all users reach the concurrency point will they start sending requests?

3. List Out Some Common Performance Bottlenecks.

Some common performance bottlenecks include:

  • CPU Utilization
  • Memory Utilization
  • Network Utilization
  • Software Limitations
  • Disk Usage

4. What Is The Difference Between Performance Testing And Performance Engineering?

Performance Testing:

In performance testing, the testing cycle includes requirement gathering, scripting, execution, result sharing, and report generation.

Performance Engineering:

Performance engineering goes beyond performance testing. After execution, results are analyzed to identify performance bottlenecks, and solutions are provided to address the identified issues.

5. What is Distributed Load Testing?

Distributed Load Testing involves evaluating the application's performance when multiple users access it simultaneously. During this testing, test cases are executed to observe how the application behaves under concurrent user loads. The application's behaviour is monitored, recorded, and analyzed as multiple users interact with it at the same time. This approach uses multiple systems to simulate numerous users, overcoming the limitations of a single system’s capacity to generate numerous threads.

6. What are some of the common problems that occur due to poor

Bottlenecks are factors that hinder system performance, causing degradation. They arise due to coding errors or hardware issues that limit the application's throughput under specific workloads.

  • Poor Response Time: Response time is the duration an application takes to react to a request. For an optimal user experience, response times should be swift. Slow response times due to poor performance can frustrate users, causing them to turn to competitors.
  • Long Load Time: Load time refers to the time it takes for an application to launch. Ideally, this should be kept to a minimum. Low performance can result in increased load times.
  • Poor Scalability: Scalability issues prevent the software from effectively handling the anticipated user load, making it inaccessible to some users

7. What are the steps involved in conducting performance testing?

The following are the steps involved in the Performance Testing Life Cycle:

  1. Requirement Gathering: The first step is to identify all testing requirements after consulting with clients and developers. This helps define the scope and objectives of testing, allowing testers to plan accordingly
  2. Architecture Review: After gathering requirements and planning the testing, an architectural review of the system under test is performed
  3. Test Strategy: Once the review is complete, a detailed test strategy is outlined, taking into account the following criteria:
    • Application response time
    • Bottlenecks in both software and hardware
    • Optimal system configuration
    • System capacity and scalability
    • Percentage of resource utilization
    • Data volume and workload handling capacity of the application
  4. Test Design: After the strategy is ready, testers prepare automation scripts or set up the testing environment using the appropriate tools. They follow best practices and coding standards, creating various test scenarios covering both positive and negative cases.
  5. Test Execution: The prepared scripts are then simulated and executed.
  6. Results Analysis: The test execution results are analyzed and documented for tracking purposes. Key metrics are observed to identify and record any defects.
  7. Reports and Recommendations: The documented results are presented to the developers along with recommendations for resolving identified issues.

8. What is the metric that determines the data quantity sent to the client by the server at a specified time? How is it useful?

Throughput is a metric that measures the amount of data a server sends to a client in response to a request. It is typically expressed in units like requests per second, hits per second, or calls per day. In many cases, throughput is measured in bits per second. This value indicates the speed and bandwidth capacity of the network. Higher throughput signifies greater network capability.

9. What is load tuning?

Load tuning is a performance enhancement technique that involves making necessary modifications to software configurations based on the results obtained from load testing.

10. What kind of testing deals with subjecting the application to a huge amount of data?

This type of testing is referred to as volume testing. It involves subjecting the application to a large amount of data to assess how much it can handle while multiple users access it concurrently. Volume testing evaluates the system's performance to determine if it can manage a specified volume of data by introducing significant data increments, either gradually or continuously.

11. What is J Meter used for?

J Meter is a Java-based tool for performing load testing. It helps in analyzing and measuring the performance of web services with the use of plugins. The latest version is 5.4.2 which requires a Java 8+version to run.

Oops Interview Questions for 10 Years Experience

1. what is performance testing

Performance testing measures the response time of system components under a specific workload. It primarily evaluates the response time for user activities. The purpose is to assess the system's overall performance under high load and stress conditions. This testing helps identify flaws in the system’s architecture, allowing for improvements in the application.

It involves the following:

  • Increasing the number of users interacting with the system.
  • Measuring the response time.
  • Repeating the load consistently.
  • Monitoring system components under a controlled load.
  • Providing robust analysis and reporting tools.

2. What is Concurrent User Hits In Load Testing?

When multiple users simultaneously trigger the same event in the application during a load test, it is called a concurrent user hit. Concurrency points are added to allow multiple, virtual users to interact with a single application event. If some virtual users reach the concurrency point earlier, they will wait for the others to run the scripts. Only when all users reach the concurrency point will they start sending requests?

3. List Out Some Common Performance Bottlenecks.

Some common performance bottlenecks include:

  • CPU Utilization
  • Memory Utilization
  • Network Utilization
  • Software Limitations
  • Disk Usage

4. What Is The Difference Between Performance Testing And Performance Engineering?

Performance Testing:

In performance testing, the testing cycle includes requirement gathering, scripting, execution, result sharing, and report generation.

Performance Engineering:

Performance engineering goes beyond performance testing. After execution, results are analyzed to identify performance bottlenecks, and solutions are provided to address the identified issues.

5. What is Distributed Load Testing?

Distributed Load Testing involves evaluating the application's performance when multiple users access it simultaneously. During this testing, test cases are executed to observe how the application behaves under concurrent user loads. The application's behaviour is monitored, recorded, and analyzed as multiple users interact with it at the same time. This approach uses multiple systems to simulate numerous users, overcoming the limitations of a single system’s capacity to generate numerous threads.

6. What are some of the common problems that occur due to poor

Bottlenecks are factors that hinder system performance, causing degradation. They arise due to coding errors or hardware issues that limit the application's throughput under specific workloads.

  • Poor Response Time: Response time is the duration an application takes to react to a request. For an optimal user experience, response times should be swift. Slow response times due to poor performance can frustrate users, causing them to turn to competitors.
  • Long Load Time: Load time refers to the time it takes for an application to launch. Ideally, this should be kept to a minimum. Low performance can result in increased load times.
  • Poor Scalability: Scalability issues prevent the software from effectively handling the anticipated user load, making it inaccessible to some users

7. What are the steps involved in conducting performance testing?

The following are the steps involved in the Performance Testing Life Cycle:

  1. Requirement Gathering: The first step is to identify all testing requirements after consulting with clients and developers. This helps define the scope and objectives of testing, allowing testers to plan accordingly
  2. Architecture Review: After gathering requirements and planning the testing, an architectural review of the system under test is performed
  3. Test Strategy: Once the review is complete, a detailed test strategy is outlined, taking into account the following criteria:
    • Application response time
    • Bottlenecks in both software and hardware
    • Optimal system configuration
    • System capacity and scalability
    • Percentage of resource utilization
    • Data volume and workload handling capacity of the application
  4. Test Design: After the strategy is ready, testers prepare automation scripts or set up the testing environment using the appropriate tools. They follow best practices and coding standards, creating various test scenarios covering both positive and negative cases.
  5. Test Execution: The prepared scripts are then simulated and executed.
  6. Results Analysis: The test execution results are analyzed and documented for tracking purposes. Key metrics are observed to identify and record any defects.
  7. Reports and Recommendations: The documented results are presented to the developers along with recommendations for resolving identified issues.

8. What is the metric that determines the data quantity sent to the client by the server at a specified time? How is it useful?

Throughput is a metric that measures the amount of data a server sends to a client in response to a request. It is typically expressed in units like requests per second, hits per second, or calls per day. In many cases, throughput is measured in bits per second. This value indicates the speed and bandwidth capacity of the network. Higher throughput signifies greater network capability.

9. What is load tuning?

Load tuning is a performance enhancement technique that involves making necessary modifications to software configurations based on the results obtained from load testing.

10. What kind of testing deals with subjecting the application to a huge amount of data?

This type of testing is referred to as volume testing. It involves subjecting the application to a large amount of data to assess how much it can handle while multiple users access it concurrently. Volume testing evaluates the system's performance to determine if it can manage a specified volume of data by introducing significant data increments, either gradually or continuously.

11. What is J Meter used for?

J Meter is a Java-based tool for performing load testing. It helps in analyzing and measuring the performance of web services with the use of plugins. The latest version is 5.4.2 which requires a Java 8+version to run.

Oops Interview Questions and Answers - FAQs

1. what is performance testing

Performance testing measures the response time of system components under a specific workload. It primarily evaluates the response time for user activities. The purpose is to assess the system's overall performance under high load and stress conditions. This testing helps identify flaws in the system’s architecture, allowing for improvements in the application.

It involves the following:

  • Increasing the number of users interacting with the system.
  • Measuring the response time.
  • Repeating the load consistently.
  • Monitoring system components under a controlled load.
  • Providing robust analysis and reporting tools.

2. What is Concurrent User Hits In Load Testing?

When multiple users simultaneously trigger the same event in the application during a load test, it is called a concurrent user hit. Concurrency points are added to allow multiple, virtual users to interact with a single application event. If some virtual users reach the concurrency point earlier, they will wait for the others to run the scripts. Only when all users reach the concurrency point will they start sending requests?

3. List Out Some Common Performance Bottlenecks.

Some common performance bottlenecks include:

  • CPU Utilization
  • Memory Utilization
  • Network Utilization
  • Software Limitations
  • Disk Usage

4. What Is The Difference Between Performance Testing And Performance Engineering?

Performance Testing:

In performance testing, the testing cycle includes requirement gathering, scripting, execution, result sharing, and report generation.

Performance Engineering:

Performance engineering goes beyond performance testing. After execution, results are analyzed to identify performance bottlenecks, and solutions are provided to address the identified issues.

5. What is Distributed Load Testing?

Distributed Load Testing involves evaluating the application's performance when multiple users access it simultaneously. During this testing, test cases are executed to observe how the application behaves under concurrent user loads. The application's behaviour is monitored, recorded, and analyzed as multiple users interact with it at the same time. This approach uses multiple systems to simulate numerous users, overcoming the limitations of a single system’s capacity to generate numerous threads.

6. What are some of the common problems that occur due to poor

Bottlenecks are factors that hinder system performance, causing degradation. They arise due to coding errors or hardware issues that limit the application's throughput under specific workloads.

  • Poor Response Time: Response time is the duration an application takes to react to a request. For an optimal user experience, response times should be swift. Slow response times due to poor performance can frustrate users, causing them to turn to competitors.
  • Long Load Time: Load time refers to the time it takes for an application to launch. Ideally, this should be kept to a minimum. Low performance can result in increased load times.
  • Poor Scalability: Scalability issues prevent the software from effectively handling the anticipated user load, making it inaccessible to some users

7. What are the steps involved in conducting performance testing?

The following are the steps involved in the Performance Testing Life Cycle:

  1. Requirement Gathering: The first step is to identify all testing requirements after consulting with clients and developers. This helps define the scope and objectives of testing, allowing testers to plan accordingly
  2. Architecture Review: After gathering requirements and planning the testing, an architectural review of the system under test is performed
  3. Test Strategy: Once the review is complete, a detailed test strategy is outlined, taking into account the following criteria:
    • Application response time
    • Bottlenecks in both software and hardware
    • Optimal system configuration
    • System capacity and scalability
    • Percentage of resource utilization
    • Data volume and workload handling capacity of the application
  4. Test Design: After the strategy is ready, testers prepare automation scripts or set up the testing environment using the appropriate tools. They follow best practices and coding standards, creating various test scenarios covering both positive and negative cases.
  5. Test Execution: The prepared scripts are then simulated and executed.
  6. Results Analysis: The test execution results are analyzed and documented for tracking purposes. Key metrics are observed to identify and record any defects.
  7. Reports and Recommendations: The documented results are presented to the developers along with recommendations for resolving identified issues.

8. What is the metric that determines the data quantity sent to the client by the server at a specified time? How is it useful?

Throughput is a metric that measures the amount of data a server sends to a client in response to a request. It is typically expressed in units like requests per second, hits per second, or calls per day. In many cases, throughput is measured in bits per second. This value indicates the speed and bandwidth capacity of the network. Higher throughput signifies greater network capability.

9. What is load tuning?

Load tuning is a performance enhancement technique that involves making necessary modifications to software configurations based on the results obtained from load testing.

10. What kind of testing deals with subjecting the application to a huge amount of data?

This type of testing is referred to as volume testing. It involves subjecting the application to a large amount of data to assess how much it can handle while multiple users access it concurrently. Volume testing evaluates the system's performance to determine if it can manage a specified volume of data by introducing significant data increments, either gradually or continuously.

11. What is J Meter used for?

J Meter is a Java-based tool for performing load testing. It helps in analyzing and measuring the performance of web services with the use of plugins. The latest version is 5.4.2 which requires a Java 8+version to run.

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