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I applied via Campus Placement and was interviewed in Oct 2024. There were 3 interview rounds.
Online test with a few behavioral questions and games. Nothing difficult.
This round included CSE Core MCQs and 2 coding questions. MCQs where moderated and Coding questions were for Leetcode Medium-Hard difficulty.
Sql problem solving - 2 problem from this topic
I have worked on various projects including a web application for a retail company and a mobile app for a fitness tracker.
Developed a web application for a retail company to manage inventory and sales
Created a mobile app for a fitness tracker to track workouts and progress
Collaborated with team members to design and implement features
Utilized technologies such as React, Node.js, and MongoDB
I applied via Job Fair and was interviewed in Aug 2024. There were 2 interview rounds.
Braking system design must consider weight and speed to ensure safe and efficient stopping.
Consider the weight of the vehicle to determine the required braking force.
Factor in the speed of the vehicle to calculate the stopping distance.
Choose appropriate brake components such as pads, rotors, and calipers based on the weight and speed requirements.
Ensure proper maintenance and testing of the braking system to guarantee...
Sigma levels are used to measure the performance of a process and identify areas for improvement.
Sigma levels range from 1 to 6, with higher levels indicating better performance and fewer defects.
Each sigma level corresponds to a defect rate per million opportunities (DPMO).
Organizations aim to achieve higher sigma levels to improve quality and reduce costs.
Examples of sigma levels include Six Sigma, which aims for 3.4...
Seeking new challenges and opportunities for growth in a different environment.
Desire for career advancement
Opportunity to learn new skills
Seeking a more challenging role
Company restructuring or downsizing
Relocation to a new area
Philips interview questions for popular designations
Easy to answer ,asked mostly on sql and other ml topics
SQL is a relational database management system, while NoSQL is a non-relational database management system.
SQL databases are table-based and have a predefined schema, while NoSQL databases are document-based, key-value pairs, graph databases, or wide-column stores.
SQL databases are good for complex queries and transactions, while NoSQL databases are better for hierarchical data storage and real-time web applications.
Ex...
Regularization in machine learning is a technique used to prevent overfitting by adding a penalty term to the model's loss function.
Regularization helps in reducing the complexity of the model by penalizing large coefficients.
Common types of regularization include L1 (Lasso) and L2 (Ridge) regularization.
L1 regularization adds the absolute value of the coefficients to the loss function, promoting sparsity.
L2 regulariza...
Get interview-ready with Top Philips Interview Questions
I applied via Campus Placement and was interviewed in Jul 2024. There were 2 interview rounds.
There were 30 questions we had to attempt in 40 minutes. The questions were from two different domains for example web and cyber both.
I am a highly skilled Cyber Security Engineer with a passion for protecting data and systems from cyber threats.
I have a strong background in network security, encryption, and vulnerability assessment.
I am proficient in various security tools such as SIEM, IDS/IPS, and firewalls.
I have experience in conducting penetration testing and incident response.
I stay updated on the latest cyber threats and security trends to en...
Developed a threat intelligence platform to monitor and analyze cyber threats.
Designed and implemented a SIEM system to detect and respond to security incidents
Conducted penetration testing to identify vulnerabilities in the network
Created and implemented security policies and procedures to ensure compliance with regulations
Aptitude is very easy. Some very basic questions asked from reasoning, maths etc
I am a passionate software developer with experience in building web applications using various technologies.
Experienced in developing web applications using HTML, CSS, JavaScript, and frameworks like React and Angular
Proficient in backend development with Node.js and databases like MongoDB and MySQL
Familiar with version control systems like Git and project management tools like Jira
My domain is web development and I have worked on projects involving e-commerce websites and content management systems.
Specialize in front-end development using HTML, CSS, and JavaScript
Experience with back-end development using languages like PHP and Node.js
Developed e-commerce websites with payment gateway integration
Built content management systems for easy website management
I have experience with technologies such as Java, Python, SQL, HTML, CSS, JavaScript, and Git.
Java
Python
SQL
HTML
CSS
JavaScript
Git
I applied via Campus Placement and was interviewed in May 2024. There were 3 interview rounds.
Computer science mcqs with a coding question
Oops pillars refer to the principles of Object-Oriented Programming - Inheritance, Encapsulation, and Polymorphism.
Inheritance: Allows a class to inherit properties and behavior from another class.
Encapsulation: Bundling data and methods that operate on the data into a single unit.
Polymorphism: Ability for objects to be treated as instances of their parent class.
Join is used to combine rows from two or more tables based on a related column between them. SQL queries are used to retrieve data from a database.
Join is used to retrieve data from multiple tables based on a related column
Types of joins include inner join, outer join, left join, and right join
SQL queries are used to manipulate and retrieve data from a database
Example: SELECT * FROM table1 INNER JOIN table2 ON table1.c
15 statistical and logical questions
2 easy to medium coding problmes. e.g. swapping the array.
Regression is a statistical method used to analyze the relationship between variables and predict outcomes.
Regression models the relationship between a dependent variable and one or more independent variables.
It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.
Examples include linear regression, polynomial regression, and logistic regression.
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