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I applied via Company Website and was interviewed in Jan 2024. There were 4 interview rounds.
To make an object immutable, use final keyword for class, private final keyword for fields, and no setter methods.
Declare the class as final to prevent inheritance
Declare all fields as private and final to prevent modification
Do not provide any setter methods to modify the fields
If the fields are mutable objects, return a copy of the object instead of the original reference
I applied via Naukri.com and was interviewed in Jan 2022. There were 3 interview rounds.
They just asked about my previous experience and questions from my resume
I applied via Walk-in and was interviewed in Aug 2024. There was 1 interview round.
Daemon thread is a low priority thread that runs in the background and does not prevent the JVM from exiting.
Daemon threads are used for tasks that do not require user interaction or continuous execution.
They are automatically terminated when all non-daemon threads have finished.
Set a thread as daemon using setDaemon(true) method before starting it.
Example: Thread t = new Thread(); t.setDaemon(true); t.start();
Basic aptitude questions based on profit and loss
Coding test based on c language and python programming
Communication assignment based on English
Real-time operating systems are designed to provide guaranteed response times for critical tasks.
Real-time operating systems prioritize tasks based on their urgency and importance.
They are commonly used in industries such as aerospace, automotive, and industrial automation.
Examples include VxWorks, QNX, and FreeRTOS.
I was interviewed before Sep 2016.
I was interviewed in Jul 2017.
Yes, I am flexible with night shifts.
I have worked night shifts before and am comfortable with them.
I understand the importance of being available for work at all times.
I am willing to adjust my schedule to meet the needs of the company.
I am aware that night shifts may require a different sleep schedule and am prepared to make necessary adjustments.
I have the skills, experience, and passion to contribute to the growth and success of your company.
My extensive experience in the industry will allow me to bring new ideas and perspectives to the table.
I have a proven track record of achieving targets and exceeding expectations.
My strong communication and interpersonal skills will enable me to work effectively with colleagues and clients alike.
I am a quick learner and ...
I believe gaining practical experience is more valuable than pursuing further education at this point.
I want to focus on gaining practical experience in my field
I feel that further education may not necessarily enhance my skills or job prospects
I am satisfied with my current level of education and feel it is sufficient for my career goals
I wanted to explore new opportunities and gain exposure to different cultures.
I wanted to broaden my horizons and experience new things.
I believed that studying in a different city would provide me with more opportunities for personal and professional growth.
I wanted to meet new people and learn about different cultures.
I was excited to explore a new city and all that it had to offer.
I felt that studying in a different...
Autocorrelation is the correlation of a signal with a delayed copy of itself.
Autocorrelation is used to identify patterns in time series data.
It is a measure of how similar a signal is to a delayed version of itself.
Autocorrelation can be positive, negative, or zero.
It is commonly used in signal processing, finance, and econometrics.
Autocorrelation can be visualized using a correlogram.
Heteroscedasticity is a statistical term that refers to the unequal variance of a variable across different levels of another variable.
It is a violation of the assumption of homoscedasticity in regression analysis.
It can lead to biased and inefficient estimates of regression coefficients.
It can be detected through residual plots or statistical tests such as the Breusch-Pagan test.
Examples include income and expenditure...
Data analysis is affected by various factors that can influence the accuracy and reliability of the results.
Data quality: The accuracy, completeness, and consistency of the data can impact the analysis.
Data sources: The reliability and relevance of the data sources used for analysis can affect the outcomes.
Data preprocessing: The way data is cleaned, transformed, and prepared for analysis can impact the results.
Data in...
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