Genpact Performance Engineer Interview Questions, Process, and Tips

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Q1. What’s your expected, CTC?
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Q2. Where do you want to see yourself after five years in this organisation?
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Q1. Reverse if a number program
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Reverse a given number program
• Take the input number

• Initialize a variable to store the reversed number

• Loop through the digits of the input number from right to left

• Add each digit to the reversed number variable

• Print the reversed number
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Q2. Basics about c and oops
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Q1. Why did you use Jmeter?
Ans. 
I used Jmeter for its user-friendly interface, extensive features, and ability to simulate real-world scenarios.
• Jmeter has a user-friendly interface which makes it easy to create and execute performance tests.

• It offers a wide range of features for load testing, stress testing, and performance monitoring.

• Jmeter allows for the simulation of real-world scenarios, helping to identify performance bottlenecks and optimize sy...read more
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Q2. What is SLA in performance testing?
Ans. 
SLA in performance testing refers to the agreed upon level of service that a system must meet in terms of response time, throughput, and other performance metrics.
• SLA stands for Service Level Agreement

• It defines the expected performance metrics that a system must meet

• SLAs are typically agreed upon between stakeholders and are used to measure the performance of a system

• Examples of SLAs include response time should be le...read more
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Q3. What is Correlation in Jmeter?
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Correlation in JMeter is the process of extracting dynamic values from server responses and passing them as inputs to subsequent requests.
• Correlation is important in performance testing to simulate real user behavior.

• It involves identifying and capturing dynamic values like session IDs, tokens, etc.

• These values are then extracted using regular expressions or built-in JMeter functions.

• The extracted values are stored in ...read more
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Q4. How many types of listeners did you use
Ans. 
I used multiple types of listeners including JMeter listeners, PerfMon Metrics Collector, and InfluxDB Backend Listener.
• JMeter listeners

• PerfMon Metrics Collector

• InfluxDB Backend Listener
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Q5. What is parameterization?
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Parameterization is the process of replacing hard-coded values in a test script with variables to make the script more dynamic and reusable.
• Parameterization helps in simulating real-world scenarios by varying input data during test execution.

• It allows for running the same test script with different sets of data without the need to modify the script each time.

• Common examples of parameterization include using CSV files, ...read more
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Q6. What are threads and thread groups?
Ans. 
Threads are lightweight processes within a process that can run concurrently. Thread groups are a collection of threads.
• Threads are independent sequences of execution within a process.

• Thread groups are used to organize and manage multiple threads together.

• Threads within a group can share resources and communicate with each other.

• Example: In performance testing, threads can simulate multiple users accessing a system con
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Q1. Explain Performance Testing Life cycle
Ans. 
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
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Q2. Explain correlation and Parameterization
Ans. 
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
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Q1. Load runner related
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Q2. What is correlation
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Correlation is a statistical measure that describes the relationship between two variables.
• Correlation can range from -1 to 1, with 1 indicating a perfect positive correlation, -1 indicating a perfect negative correlation, and 0 indicating no correlation.

• Correlation does not imply causation, meaning just because two variables are correlated does not mean that one causes the other.

• For example, if there is a positive cor...read more
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Q1. What is Performance Testing?
Ans. 
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
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Q2. What is correlation and Parameterization?
Ans. 
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
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About work experience

Q1. Why PT required?
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Q2. Performance testing procedures for API
Ans. 
Performance testing procedures for API involve load testing, stress testing, and scalability testing.
• Conduct load testing to determine how the API performs under normal and peak load conditions.

• Perform stress testing to evaluate the API's stability and reliability under extreme conditions.

• Conduct scalability testing to assess the API's ability to handle increased workload by adding more resources.

• Monitor response times...read more
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Q3. APM tool use in PT?
Ans. 
APM tools are commonly used in Performance Testing to monitor and analyze the performance of applications under load.
• APM tools help in identifying performance bottlenecks and optimizing application performance.

• Examples of popular APM tools include New Relic, Dynatrace, AppDynamics, and Datadog.

• These tools provide real-time monitoring, alerting, and performance analytics to help improve application performance.

• APM tools...read more
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Q4. Root Cause analysis in PY
Ans. 
Root Cause analysis in PY involves identifying the underlying reason for performance issues.
• Identify the symptoms of the performance issue

• Gather data and metrics related to the performance problem

• Analyze the data to pinpoint the root cause

• Implement solutions to address the root cause
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