With the growing complexity of software applications, the demand for performance testers is likely to remain strong. In this blog on Performance Testing interview questions and answers for freshers and experienced, we have compiled a few of the most often asked questions in job interviews for performance testing-based profiles. Going through these questions helps you to secure your dream job.
If you're looking for Performance Testing Interview Questions for Experienced or Freshers, you are in the right place. There are a lot of opportunities from many reputed companies in the world.
Mindmajix as a team has got enough questions from the trainees who got their Performance Testing Training and cracked interviews at various MNCs around the world and successfully placed. From the collection of Performance Testing Interview questions, the following are the most common questions we got are listed to make it easy for those who are willing to crack the interview with ease.
We have categorized Performance Interview Questions - 2023 (Updated) into 2 levels they are
If you want to enrich your career and become a professional in Performance Testing, then enroll in "Performance Testing Training" - This course will help you to achieve excellence in this domain |
In order to evaluate performances that are applications based we need performance testing. These evaluations are performed under certain stress and load conditions. The response time that is related to the activity of users is generally used for measuring performance testing. The entire system is tested at a high condition of stress and load.
There are three types of performance testing which are listed below.
These are the best tools for performance testing.
Correlation is done for the dynamic values or the values returned from the server for any request. Parameterization differs from correlation, in which the former takes care of static data which is usually entered by the user.
The sub-genres are described below.
In order to make improvements in the performance of the system performance tuning is used and there are two types.
There may arise a situation when more than one user will hit on the same event of the application during load testing and this situation is referred to as concurrent user hit. There is the addition of these concurrency points. This is done so that the virtual multiple users would be able to work in a single event of application.
Performance testing is a very good platform because of the following reasons.
There were certain disadvantages of Manual load testing which are described below.
The starting of performance testing is done at the design level only. After the testing is done, results are collected, and later they are analyzed in order to make improvements regarding the performance. During the whole process of life cycle development, performance tuning is done and the factors on which it is based are scalability and reliability during the presence of the load, application release time and tolerance criteria of performance and stress.
Through the process of monitoring applications that go against the stress and load conditions, bottlenecks can be identified. Also, there is the requirement of load runner. Load runner is required since various kinds of monitors are provided by it that of the monitor of the web resource, firewall monitor, runtime monitor, database server, and network delay.
The activities are:
Implementation of the load test, the collection of results, and then analysis of results
It is another java tool that is used for performance load testing. It can analyze and measure the performance of a variety of services with a focus on a web application. Its architecture is based on plugins. The last version of Apache JMeter is 3.3. we can also run JMeter with Jenkins.
In order to create a performance test plan in JMeter
In JMeter, Spike testing may have been done by using the Synchronizing timer. The threads are jammed by synchronizing the timer until a certain number of threads have been clogged and then released at once, creating a large instantaneous load.
The common mistakes that are generally committed during Performance Testing are:-
Some common performance bottlenecks include:
Neo load is a tool by which the performance of the web or mobile application is measured. It is a stress and load testing tool. It provides programmatic solutions to the developers to help them optimize the performance before the application goes into production. It is available in French and English. It's a type of load testing tool
Baseline testing is performed on the application before coming to any conclusion. It is also an indication of what has to do in the next stage of the application. A majority of issues can be solved by this. It is a baseline that can form the base of any construction, calculation, and measurement.
The procedure that helps in performing application testing in case of the number of users who are gaining access to the application simultaneously is defined as distributed testing.
Throughput is defined as the quantity of data that is sent to the client by the server at a stipulated interval of time. This is the response of the server to the request of the client.
The phases of performance test:
1. Planning of tests
2. Development of tests
3. Execution of tests
4. Analysis of results
5. Tracking defection and
6. Reporting
This is a standalone form of testing as it does not depend on the applications that are being executed on some other machines.
Web testing tools:
Web testing bugs:
The process with the help of which in miniature level performance bottleneck are identified is known as profiling.
The process of analyzing performances of system resources and their functionality under certain workload conditions results in differences in their performance. This non-functional technique of testing system performance is known as Performance Testing.
Plan, Develop, Execute and Analyse are the phases of testing.
Performance of systems can be measured by considering load, stress, soak, and spike testings.
While working with systems that include transactions with a load on servers or databases results vary in their performances. This is monitored to observe what kind of load is responsible for downgrade or upgrade of system performance.
Load tuning is a method of improving performance by applying necessary modifications to the software. This load tuning can be performed by developers based on the load testing reports submitted by the performance testers. This process of fixing software issues is known as software tuning.
Application is tested to know how much amount of data can be handled during the core execution of the application with a good number of users accessing concurrently, which defines Volume testing.
While lead testing, the amount of requests handled by the server or the amount of data served by the application per defined time gives a throughput of the application. Throughput is defined in different ways, like bits per second, reports per year, requests handled per day, etc.
The method of executing predefined instructions in order to make two systems interact or information exchange is defined as protocol. Protocols are recommended to improve the load and performance handling of the application.
In order to know the system performance when the load is maintained consistently at the system’s upper limit of maximum capacity, the performance results are analyzed to know how far the resources can sustain the upper limit with good performance as expected.
Expecting a continual increase in the load, system resources are monitored with their performances getting affected with load increase. In the due course of the time any data leak is monitored and the memory management is observed to make sure, performance does not affect any of the memory constraints and no data loss happens.
Spike testing is used to test the performance of the system when the number of users keeps on increasing with a large number with the same resources available to serve the number of users. This will help to understand how many users can the system successfully handle their requests without loss in its performance or any issues.
It is a kind of load testing performed on part of the application of complete application with the varied load to monitor performance changes. It is repeated until there exists a very minor percentage of difference in the measurements noted from the earlier tests.
It is a method of verifying or validating the reports submitted by performance testers that need to be addressed by developing a team. A baseline test is done before any action to be taken to improve the performance that was observed low while testing. On successful completion of baseline tests, more than eighty percent of the issues can be recovered.
Silk Performer, QALoad, WebLoad, LoadRunner, Rational Performance Tester are few testing tools by various providers.
It is the number of users who requested/accessed the server and got successfully processed their requests until there is a certain change observed in the performance. In general, there exists performance degradation while the number of users trying to access concurrently as the load increases.
Testing is done to measure the performance of every action performed. And these actions have to be noted that will help you engineer the performance. There exist certain measures to be considered while monitoring these performance tests, like users have to be working on the core functionality of the application, trying to perform operations on databases like CRUD, and the number of users trying to concurrently access the application should be more. With all these criteria, even manual test cases can help you in identifying the performance measurements.
The process of identifying the issues that disturb the performance of any application is performance testing whereas, improving the performance of the application by observing the measurements got from the performing testing by necessary changes in terms of architecture, resources, implementation, etc is performance engineering.
Spike testing is a method of performance testing where a system is applied with a drastic change in the user base and load on the application to test the performance. Spike testing helps you find whether a system can handle the drastic changes that occur on the application when there is a sudden increase or decrease in the user base of their operations.
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Prasanthi is an expert writer in MongoDB, and has written for various reputable online and print publications. At present, she is working for MindMajix, and writes content not only on MongoDB, but also on Sharepoint, Uipath, and AWS.
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