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I applied via Company Website and was interviewed before Apr 2021. There were 2 interview rounds.
Lab me botel bharna
Un ke packing karna un per sil lagana
Amk in the mixing in boling tank
Tank in the mixing
The mixing in the botel amk
I appeared for an interview in Jan 2022.
posted on 20 Mar 2025
I appeared for an interview in Feb 2025, where I was asked the following questions.
I applied via LinkedIn and was interviewed in Dec 2022. There were 3 interview rounds.
GKN is expected to deliver high-quality products and services, maintain strong relationships with customers, and drive innovation.
Deliver high-quality products and services
Maintain strong relationships with customers
Drive innovation
Meet or exceed performance targets
Adhere to company values and standards
I applied via Recruitment Consulltant and was interviewed in Aug 2023. There were 2 interview rounds.
I applied via LinkedIn and was interviewed before Feb 2023. There were 3 interview rounds.
posted on 13 Aug 2020
I applied via Naukri.com and was interviewed in Jul 2020. There were 4 interview rounds.
Sorting and searching are fundamental data structure algorithms used to organize and retrieve data efficiently.
Sorting algorithms include bubble sort, insertion sort, merge sort, quicksort, and heapsort.
Searching algorithms include linear search, binary search, and interpolation search.
The choice of algorithm depends on the size and type of data being sorted or searched.
Efficient sorting and searching are critical for
posted on 13 Nov 2021
I applied via Naukri.com and was interviewed in May 2021. There were 4 interview rounds.
I am a Senior Software Engineer with expertise in developing scalable and efficient software solutions.
Over 10 years of experience in software development
Proficient in multiple programming languages such as Java, C++, and Python
Strong knowledge of software architecture and design patterns
Experience in building and optimizing high-performance systems
Expertise in database management and SQL
Proven track record of deliveri
Seeking new challenges and growth opportunities in a dynamic and innovative environment.
Looking for a company that aligns with my career goals and values.
Seeking a more challenging role that allows me to utilize my skills and expertise.
Interested in working with cutting-edge technologies and staying up-to-date with industry trends.
Wanting to expand my professional network and learn from experienced professionals.
Desire...
I have worked on various technologies including Java, Python, and JavaScript.
Java - Developed a web application using Spring framework
Python - Built a machine learning model for sentiment analysis
JavaScript - Created interactive user interfaces with React
Automation testing has advantages like faster execution and repeatability, but also has disadvantages like high initial cost and limited scope.
Advantages: faster execution, repeatability, increased test coverage, improved accuracy, reduced human error
Disadvantages: high initial cost, limited scope, difficulty in testing UI and UX, need for maintenance and updates
Example: Selenium for web automation testing, Appium for
Bug life cycle is the process of identifying, reporting, fixing, and verifying software bugs.
Bug is identified by testers or users
Bug is reported to the development team
Development team analyzes and reproduces the bug
Bug is assigned to a developer for fixing
Developer fixes the bug and marks it as resolved
Bug is retested by testers
If bug is not fixed, it is reopened and assigned back to developer
Once bug is fixed and ve
My short term goal is to enhance my technical skills and contribute to the success of the company. My long term goal is to become a technical leader and make a significant impact in the software engineering field.
Short term goal: Enhance technical skills
Short term goal: Contribute to company success
Long term goal: Become a technical leader
Long term goal: Make a significant impact in software engineering
posted on 6 Feb 2023
I applied via Naukri.com and was interviewed in Jan 2023. There was 1 interview round.
O(n) refers to linear time and space complexity.
O(n) means that the time or space required by an algorithm grows linearly with the size of the input.
It implies that the algorithm's performance is directly proportional to the input size.
For example, if an algorithm takes 10 seconds to process 100 elements, it would take 20 seconds to process 200 elements.
O(n) complexity is considered efficient and desirable in most case
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