Tata Digital Interview Questions, Process, and Tips

Q1. Difference between Lag & Lead with an example
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Q2. Example explaining Rank,Dense_Rank,Row_Number
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Q3. Business question around customer funneling.
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Q4. Some technical questions around marketing campaigns(utm_source,campaign_id,etc.)
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Q1. Questions around customer funneling(Ideal and non-ideal)
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Q2. Some other business related problems and situational questions.
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Q1. Behavioural and resume basaed questions with some situational questions.
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Q1. Behavioral questions.
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Q1. Architecture Design, Deep Dive
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Q2. Problem statement
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Q1. System Design, Software Fundamentals
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Q2. Security, Leadership
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Q1. E-commerce platform and its working
Ans. 
E-commerce platform is a website or application where businesses sell products or services online.
• E-commerce platforms allow businesses to create online stores to showcase and sell their products.

• Customers can browse products, add them to cart, and make payments online through secure payment gateways.

• Popular e-commerce platforms include Shopify, WooCommerce, Magento, and BigCommerce.
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Q2. Three things which you like and you dislike about e-commerce website
Ans. 
I like the convenience, variety of products, and personalized recommendations on e-commerce websites. I dislike slow loading times, hidden fees, and lack of customer service.
• Convenience of shopping from home

• Wide variety of products available

• Personalized recommendations based on browsing history

• Slow loading times can be frustrating for users

• Hidden fees during checkout process can lead to dissatisfaction

• Lack of responsiv...read more
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Q1. Behaviour and critical thinking
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Q2. Project and problem you have faced
Ans. 
Implemented CRM system for a company, faced challenges with data migration and user adoption.
• Managed data migration from legacy systems to new CRM platform

• Provided training and support to employees to ensure successful adoption

• Addressed technical issues and customized CRM features to meet company's needs
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Q1. Tell me about 1 project you have worked on and what did you learn during this?
Ans. 
Developed a machine learning model to predict customer churn for a telecom company.
• Collected and cleaned customer data including demographics, usage patterns, and customer service interactions.

• Used various machine learning algorithms such as logistic regression, random forest, and XGBoost to build and evaluate the model.

• Identified key factors contributing to customer churn such as contract length, monthly charges, and ...read more
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Q2. How do you build a recommendation system?
Ans. 
A recommendation system can be built using collaborative filtering, content-based filtering, or hybrid approaches.
• Collect and preprocess data on user preferences and item attributes

• Implement collaborative filtering by recommending items based on user behavior and preferences

• Utilize content-based filtering by recommending items similar to those previously liked by the user

• Consider hybrid approaches that combine collabor...read more
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35 min. Coding related questions

Figma Design Hackathon

Q1. How to trigger 20 threads in Java Code given & asked to find fault. Ans is "it was restricted mode" What is Outer Join useMemo useState How to unmount , mount and update state. React component lifecycle. ...read more
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Q2. Usememo, useState, useEffect
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