Rakuten Interview Questions, Process, and Tips

Had a live coding test with the interviewer with medium level questions and the interviewer was helpful

Q1. System design for uber
Ans. 
System design for Uber involves creating a scalable and efficient platform for matching riders with drivers.
• Use microservices architecture for scalability and flexibility

• Implement geolocation services for real-time tracking

• Utilize algorithms for efficient matching of riders and drivers

• Include payment processing system for seamless transactions
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Combination of aptitude test and coding test, 1 hr, 16 MCQs, 2 coding ques

Q1. Relocation related queries
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Q2. They asked about any interference from the college.
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Q1. Questions related to Android and kotlin
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Q1. Managerial round to discuss roles and responsibility with regards to projects worked on
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Q1. Discussion over roles and responsibility in the company and culture.
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Codility application using data structures difficulty medium

Q1. How to design large scale machine learning system
Ans. 
Designing large scale ML systems requires careful consideration of data, infrastructure, algorithms, and deployment.
• Identify the problem and define the objectives

• Collect and preprocess large amounts of data

• Choose appropriate algorithms and train models

• Deploy models on scalable infrastructure

• Monitor and evaluate performance regularly

• Continuously improve the system based on feedback

• Consider ethical and legal implications

• ...read more
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Q2. Tell me about your industrial machine project experience
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Q1. System design for big data application
Ans. 
System design for big data application involves selecting appropriate technologies, designing data architecture, and ensuring scalability.
• Choose appropriate technologies for data storage, processing, and analysis

• Design data architecture that can handle large volumes of data

• Ensure scalability by using distributed systems and load balancing

• Consider security and privacy concerns

• Examples of technologies: Hadoop, Spark, NoS
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Q2. Live coding to parse logs from a given file
Ans. 
Live coding to parse logs from a given file
• Choose a programming language

• Read the file line by line

• Use regular expressions to extract relevant information

• Store the extracted data in a structured format
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Q1. Why are you leaving the current job
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Q2. Why do you want to join this company
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Topic: DSA & Java
Duration 1.5 hours
Platform: Hackerearth

Q1. Java Technical Internal working of list, map
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Q2. Priority Queue design
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Q1. Hiring Manager round: 1. Design highly available caching server 2. Read from file & give response based on queries
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Data Product Assignment

Product Sense - related to Data Product Assignment and Data Science area

Product Sense - Generic Product Areas

Q1. Engineering Manager Round
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Q1. Hiring Manager round, question on past experience
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Q2. Question on challenges while working with multi-national teams
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