i2e Consulting Data Engineer Interview Questions and Answers

Easy and moderate level question

Given a relevant topic and discussion on it

Q1. Introducd yourself
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Q2. Why do you want to join us
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Q1. Palindrome code should design
Ans. 
Palindrome code should be designed to check if a given string is the same forwards and backwards.
• Create a function that takes a string as input

• Remove any spaces and punctuation from the string

• Reverse the string and compare it to the original string to check if it is a palindrome
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Q2. Regarding sql topics like joins and acid
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Q3. Project explain and domain
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Q4. Project explain and domain and internal working
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Q5. Oops concepts and coding
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Q1. Diff btw vite and webpack
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Q2. What is currying in js
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Q1. What is currying in javascript?
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Q2. Diff btw webpack and vite
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Q1. Difference between function and method
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Q2. A program related to strings
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Q3. A program related to prime numbers
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The aptitude test was relatively straightforward, consisting of both aptitude and technical questions, with a difficulty level ranging from easy to medium.

Q1. Was asked to write a code on basic DSA concept
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Q2. Then was asked basic questions on DSA and SQL
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Q1. How to rotate a matrix?
Ans. 
To rotate a matrix, transpose it and then reverse each row or column depending on the direction of rotation.
• Transpose the matrix by swapping elements across the diagonal

• For clockwise rotation, reverse each row of the transposed matrix

• For anti-clockwise rotation, reverse each column of the transposed matrix
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Q2. How to find a particular element in a sorted array?
Ans. 
Use binary search to efficiently find a particular element in a sorted array.
• Start by comparing the target element with the middle element of the array.

• If the target element is less than the middle element, search the left half of the array.

• If the target element is greater than the middle element, search the right half of the array.

• Repeat the process until the target element is found or the search space is empty.
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Forecasting problem - Predict daily sku level sales

Q1. What is difference between bias and variance
Ans. 
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
• Bias is the error introduced by approximating a real-world problem, leading to underfitting.

• Variance is the error introduced by modeling the noise in the training data, leading to overfitting.

• High bias can cause a model to miss relevant relationships between features and target variable.

• High variance can cause a model to ...read more
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Q2. Parametric vs non parametruc model
Ans. 
Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
• Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.

• Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.

• Examples of parametric models inc...read more
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