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Persistent Systems
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I applied via Naukri.com
I have worked on various AWS services including S3, EC2, Lambda, Glue, and Redshift.
S3 - Used for storing and retrieving data
EC2 - Used for running virtual servers
Lambda - Used for serverless computing
Glue - Used for ETL (Extract, Transform, Load) processes
Redshift - Used for data warehousing and analytics
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
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I applied via Campus Placement and was interviewed before Sep 2021. There were 4 interview rounds.
Prepare normal for aptitude - maths, quant, analytic
My GD topic was Is internet good for students or not
I didn't attempt this as I was noob back in third year Engg
I applied via Recruitment Consultant and was interviewed before Oct 2019. There were 3 interview rounds.
I am always eager to take up new responsibilities, tasks, and technologies.
I am a quick learner and enjoy challenging myself with new tasks and technologies.
I regularly attend workshops and training sessions to keep myself updated with the latest technologies.
I have taken up new responsibilities in my previous roles, such as leading a team or taking ownership of a project.
I am open to feedback and constructive criticis
I appeared for an interview before Apr 2020.
I applied via Referral
Data structures are a way to organize and store data efficiently.
Data structures are used to store and manipulate data in a structured manner.
They provide different ways to access and perform operations on the data.
Examples include arrays, linked lists, stacks, queues, trees, and graphs.
Developed a web-based project management tool for tracking tasks and deadlines
Used React.js for front-end development
Implemented RESTful APIs using Node.js and Express for back-end
Utilized MongoDB for database management
Incorporated user authentication and authorization features
Integrated real-time notifications using Socket.io
My name is John Smith.
Full name is John Smith
Common name in English-speaking countries
Easy to remember and pronounce
The question is unrelated to the medical field and is not a puzzle or riddle.
The question is asking about the meaning of the interviewer's name.
You can ask the interviewer about the origin or cultural significance of their name.
You can also mention that names often have different meanings in different languages or cultures.
My strengths include problem-solving skills, attention to detail, and strong communication abilities.
Strong problem-solving skills - I enjoy tackling complex issues and finding creative solutions.
Attention to detail - I am meticulous in my work and strive for accuracy in all tasks.
Strong communication abilities - I can effectively convey ideas and collaborate with team members.
posted on 16 Dec 2015
Yes, I can remove all the pcs from the lab and keep them in another lab right now.
Ensure all the necessary equipment and tools are available for the move
Coordinate with the lab staff to ensure a smooth transition
Label and document each PC for easy identification and setup in the new lab
Ensure proper packaging and handling to prevent any damage during the move
Fibonacci series is a sequence of numbers where each number is the sum of the two preceding ones.
The first two numbers of the series are always 0 and 1
The next number is the sum of the previous two numbers
The series goes on infinitely: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...
Pseudo code: 1. Initialize variables a=0, b=1, c=0 2. Print a and b 3. Repeat steps 4-6 until desired number of terms 4. c=a+b 5. Pr
Algorithm for matrix multiplication
Create a result matrix with dimensions of the two input matrices
Iterate through each row and column of the result matrix
For each element in the result matrix, multiply corresponding row in first matrix with corresponding column in second matrix
Add the products obtained in the previous step to get the final value for the element
I worked on a project that involved sentiment analysis of customer reviews using Naive Bayes algorithm.
The project involved collecting customer reviews from various sources.
Preprocessing the data by removing stop words, stemming, and tokenizing.
Used Naive Bayes algorithm for sentiment analysis.
The algorithm was chosen because of its simplicity and effectiveness in text classification tasks.
The accuracy of the model was
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