If you are looking for performance testing interview questions, you have landed on the right page. Yes! We have compiled the most asked performance testing interview questions with answers for freshers and advanced learners. Performance testing is the process of testing applications for different workloads and scenarios. We assure you that this blog will help you enrich your knowledge of performance testing and crack your interviews.
Developing efficient and high-performance software applications is crucial for improved user experience and smooth running of businesses. Performance testing plays a key role in ensuring the quality and performance of applications. You can measure the responsiveness and stability of applications under various workloads through performance testing.
Many companies evaluate their software products through performance testing to offer better user experiences. That’s why the demand for performance testers is on the rise. Keeping that in mind, we have curated the key performance testing interview questions and answers in this blog to enrich your knowledge of performance testing and breeze through your interviews effortlessly. Let’s begin!
Table of Contents
In this section, I have curated the basic-level performance testing interview questions for beginners. This QA section will introduce you to types of performance testing, performance testing lifecycle, web-based testing, and more. Let’s jump in!
Performance testing is essentially a type of non-functional software testing. We conduct performance testing to identify performance metrics of applications like stability, speed, scalability, and responsiveness under different workloads. We can also measure the data transfer velocity, maximum concurrent users, network bandwidth, memory utilisation, etc.
For example, performance testing examines how an application responds if a thousand users log in at a time. Also, we can simulate how the application responds when multiple users perform the same activity.
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There are many types of performance testing, as listed below.
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Following are the important metrics of performance testing.
The following are the best tools for performance testing.
Soak testing is also called as endurance testing or capacity testing. We conduct this testing to measure the response time and stability of applications for loads applied on it for a long time. By performing soak testing, we can optimise potential problems such as resource leaks, memory leaks, etc.
Soak testing helps track application performance for a massive load for a long time. It helps to avoid unexpected errors and crashes of applications. Besides, we must conduct soak testing during system upgrades, new software releases, and peak usage periods.
The different phases of the performance test are given below:
We perform performance tuning to make improvements in the system's performance. There are two types.
The entry criteria for performance testing are listed below:
The exit criteria for the performance testing are given below:
The activities below will be done during the performance testing.
JMeter is a Java tool that we use to make performance testing. It helps to analyse and measure the performance of various services on a web application. The architecture of JMeter depends on plugins. The latest version of Apache JMeter is 3.3. We can run JMeter along with Jenkins.
[ Related Blog: JMeter Tutorial For Beginners ]
We must follow the steps below to create a performance test plan in JMeter. They are:
Below are the common mistakes that may arise while performing the performance testing. They are:
The typical performance bottlenecks include:
NeoLoad is one type of load testing tool. We can use NeoLoad to decipher the performance of the web or mobile applications. NeoLoad is a stress and load testing tool. It helps developers to optimise the application performance before it goes into production.
We perform baseline testing on applications before coming to any conclusion. It helps decide the actions to take in the next stage of the application. Also, it helps to resolve many issues. It is a baseline that forms the base of any calculation, construction, and measurement.
Distributed testing helps perform application testing when many users attempt to gain access to applications simultaneously.
The following are the two key advantages of Windows-based testing.
Below are the elements associated with web-based testing.
Desktop testing is standalone since it does not depend on the applications executed on other machines.
We can use the following two tools.
Jotted down are the four bugs of web testing.
Load tuning is a strategy for improving performance by applying necessary modifications to the software. Developers perform this load tuning based on the load testing reports submitted by the performance testers. Besides this, software tuning is the process of fixing software issues.
The method of executing predefined instructions to make two systems exchange or interact information is defined as protocol. We use protocols to improve the load and performance of applications.
The baseline test is a method of validating or verifying reports submitted by performance testers. We perform baseline tests before taking any action to improve the performance. Upon completing baseline tests, we can recover most of the issues quickly.
Silk Performer, WebLoad, QALoad, LoadRunner, and Rational Performance Tester are a few commercial testing tools.
Cheers! You have gone through the fundamental performance testing interview questions and answers. You might have gained the confidence to quickly dive into the advanced interview questions.
This section will take you through the advanced-level performance testing interview questions and answers. It will help to boost your expertise in performance testing to higher levels. Let’s check it out!
We can correlate the values returned from the server for any request. Parameterisation differs from correlation because parameterisation concerns the static data entered by users.
We can follow the steps below to identify performance bottlenecks in applications.
There are some downsides to performing Manual load testing, as listed below.
Automated load testing supports overcoming the above-listed drawbacks of manual testing and efficiently performs load testing on applications.
We conduct testing to measure the performance of every action. We need to consider specific measures to monitor these performance tests.
In JMeter, we can perform Spike testing with the help of the synchronising timer. In this testing, the threads are jammed by synchronising the timer until several threads have been clogged. The threads are released at once, creating a large instantaneous load.
Performance engineering is end-to-end application testing and monitoring by testers, product owners, developers, business analysts, etc. It enables strong collaboration between the different application development and optimisation teams.
The ultimate goal of performance engineering is to meet the user/applications through continuous feedback and tuning. As a result, we can develop more scalable and reliable applications with enhanced user experience.
Performance testing is the process of identifying the issues that impact the performance of any application.
On the other hand, improving the performance of any application is known as performance engineering. In performance engineering, necessary changes, such as architecture, implementation, resources, etc., are applied to applications. These measurements are taken from the performance testing.
We need to consider the following when conducting performance testing.
Micro Focus LoadRunner is one of the robust performance testing tools with which we can measure the performance of applications. This tool simulates multiple concurrent users' actions and tracks the applications' response times. When the number of users increases, the load increases and the response time decreases. This tool helps identify the maximum number of concurrent users allowed to use the applications simultaneously.
BlazeMeter is a comprehensive performance testing tool that allows us to test and monitor APIs throughout the SDLC. Moreover, it is a continuous testing platform that can run on any device seamlessly.
Generally, when many users attempt to access an application, performance degradation can occur. In other words, the performance may decrease when the load increases on an application.
A concurrent user hit is a scenario in which more than one user hits on the same event of an application during load testing. This measurement helps to precisely identify how many users can work in a single application event.
Dynatrace is a monitoring tool that supports monitoring, optimising, and managing the performance of applications. It is a software intelligence platform with which we can get real-time insights into the performance of applications.
We can leverage Dynatrace to measure the performance of complex environments such as Microservices, cloud-native applications, and hybrid IT infrastructures. The main thing about Dynatrace is that it uses the AI engine to measure the performance of applications with accurate and valuable insights.
Capacity planning is the process of determining the hardware and software required to meet the application requirements. It is an iterative process that ensures the availability of IT resources at the right time.
We conduct capacity planning for applications to work as intended in steady-state and peak usage. Capacity planning includes identifying business requirements, designing, testing, and even future requirements.
Parametrisation is the process of converting test values into reusable parameters. We can derive the parameters from variables. Not only variables, we can use text strings, expressions, etc., instead of variables for parameterisation.
Further, we use parameterisation to prevent server-side caching and pass multiple values. We can perform parameterisation in many ways, such as replacing the recorded values in requests with dynamic values, adding test data from a separate file, etc.
Correlation in performance testing helps to compare the performance metrics such as the number of concurrent users, response time, etc. That's because the relationship between these variables significantly affects applications' performance.
Understanding the dependencies between the performance metrics allows us to identify performance bottlenecks, optimise resources, and enhance application performance. On top of that, we can make informed decisions by correlating the performance metrics accurately.
We use rendezvous points to synchronise virtual users from different groups in a test case. It allows tasks to be performed at the same time. Also, we use these points in the test case to develop the same load on the server at specific points.
For example, consider a bank server where we can insert rendezvous points so that 100 virtual users can deposit cash simultaneously.
Benchmark is a type of load testing performed on the part of the application with varied loads to monitor performance changes. We can repeat this testing until there is a minor percentage of difference in the measurements taken from the earlier tests.
Correlate Graph: This graph plots the Y-axes of two graphs against each other. The Y-axis of the merged graph is the X-axis of the current graph. The Y-axis of the second graph becomes the Y-axis of the merged graph.
For example, the graph below shows hits per second on the Y-axis and Throughput on the X-axis.
Overlay Graph: The X-axis is common for two graphs in this graph. The left Y-axis of the merged graph is the values of the current graph. The right Y-axis of the merged graph shows the values of the second graph.
In the image below, throughput is the value shown on the left Y-axis of the merged graph. Hits per second is the value shown on the right Y-axis of the merged graph.
Celebrate! You have completed learning all the performance testing interview questions and answers now. Undeniably, you must have gained comprehensive knowledge of performance testing from this blog.
Yes, performance testing is suitable for a career because it opens up doors of opportunities for testing aspirants. According to AmbitionBox, performance testers earn an average salary of over 6 LPA in India. In the USA, performance testers make 107k USD per year on average, according to Talent. AmbitionBox says TCS, Capgemini, Cognizant, Accenture, Infosys, and other top companies hire performance testers for attractive salaries. These figures show that performance testers will have a rewarding and bright career.
You can learn performance testing in a short period. MindMajix offers 15 hours of performance training in two modes: live online and self-paced videos. If you choose the live online training, you can learn performance testing in 15 hours. If you select the self-paced videos and watch two videos per day, you will complete the learning performance testing in over a week.
Of course! You can learn performance testing quickly. If you are eager to learn and invest your time in learning, then learning performance testing is a cakewalk. MindMajix offers performance testing training with industry-experienced trainers. They deliver the training from the basics to advanced concepts step by step so that learners can get in line with the training ideally.
Yes, you can automate performance testing. By automating the performance testing, you can measure the speed, reliability, response time, scalability, etc., for fluctuating workloads. Blazemeter and Perfecto are the tools we can use to automate performance testing.
You need to use the representative data for performance testing so that you can simulate real-time scenarios seamlessly. The testing data should have many varieties and be volume-based.
Primary Skills
Let's look at the essential primary skills required for performance testers in the following.
Secondary Skills
Let's look at the secondary skills necessary for performance testers below.
Job Responsibilities For 1-2 Years of Experienced Candidates
Let’s go through the roles and responsibilities of entry-level performance testers in the following.
Job Responsibilities With 3-5 Years of Experienced Candidates
Let’s read through the responsibilities of performance testers with middle-level experience.
Job Responsibilities With More Than 5 Years of Experienced Candidates
Let's look at the responsibilities of senior-level performance testers in the following section.
Well! You have gone through the skills and job responsibilities of performance testers in this section. It will help you to prepare for the performance tester job interviews and build a prosperous career.
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It's a wrap! We hope this blog has given you a sound understanding of the performance testing of applications. You have become familiar with the skills and responsibilities of performance testers by reading this article. We hope the performance testing interview questions and answers will help you ace your interviews and bag your dream job easily.
If you are looking for professional training to boost your skills, you can opt for MindMajix – a pioneer in eLearning providers. MindMajix offers top-class Performance Testing Training for all learning – no matter your expertise and experience. Ultimately, the training will help you build a prosperous career in performance testing.
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Viswanath is a passionate content writer of Mindmajix. He has expertise in Trending Domains like Data Science, Artificial Intelligence, Machine Learning, Blockchain, etc. His articles help the learners to get insights about the Domain. You can reach him on Linkedin