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I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.
Sum all numbers in an array using Java 8 features.
Use the stream() method to convert the array into a stream of elements.
Use the mapToInt() method to convert the stream of elements into a stream of integers.
Use the sum() method to calculate the sum of all integers in the stream.
Find the second largest element in an array of strings.
Sort the array in descending order
Return the element at index 1
Maximum some in an array
I applied via Naukri.com and was interviewed before Jun 2023. There were 3 interview rounds.
Good easy basic quesrions
Basic Java and OOPS questions were asked
LLd and hld and basic java were asked
I applied via Campus Placement and was interviewed in Sep 2023. There were 3 interview rounds.
Quantitative, verbal
2 coding questions easy, medium
Node.js is suitable for real-time applications and microservices, while Java is better for large-scale enterprise applications.
Use Node.js for building real-time applications like chat apps, streaming services, and collaborative tools.
Node.js is also great for developing microservices and APIs due to its lightweight and event-driven architecture.
Java is ideal for building large-scale enterprise applications that requir...
I applied via Approached by Company and was interviewed before Jun 2023. There was 1 interview round.
DSA ,sql, OS,CN, aptitude
Basic Arithemetic , Algebra , Geometry , Percentages , Ratios , Number Series
Linked list and tree based questions
I applied via Campus Placement and was interviewed in Jan 2024. There was 1 interview round.
I am a passionate software developer with experience in Java, Python, and web development.
Experienced in Java, Python, and web development
Strong problem-solving skills
Team player with excellent communication skills
I have worked on various projects including web development, mobile app development, and data analysis.
Developed a web application for a small business to manage inventory and sales
Created a mobile app for tracking fitness goals and progress
Performed data analysis on customer feedback to improve user experience
Machine learning algorithms in cars are implemented through sensors, data collection, training models, and real-time decision-making.
Collecting data from various sensors installed in the car, such as cameras, lidar, radar, and GPS.
Training machine learning models using the collected data to recognize patterns and make predictions.
Implementing real-time decision-making algorithms in the car's onboard computer to assist ...
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