Deutsche Telekom Digital Labs Senior Data Engineer Interview Questions and Answers

Q1. What is Overfitting in decision tree
Ans. 
Overfitting in decision trees occurs when the model learns noise in the training data rather than the underlying pattern.
• Overfitting happens when the decision tree is too complex and captures noise in the training data.

• It leads to poor generalization on unseen data, as the model is too specific to the training set.

• To prevent overfitting, techniques like pruning, setting a minimum number of samples per leaf, or using en
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Q2. What is bagging
Ans. 
Bagging is a machine learning ensemble technique where multiple models are trained on different subsets of the training data and their predictions are combined.
• Bagging stands for Bootstrap Aggregating.

• It helps reduce overfitting by combining the predictions of multiple models.

• Random Forest is a popular algorithm that uses bagging by training multiple decision trees on random subsets of the data.
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Q3. What is neuron How its used in DL
Ans. 
A neuron is a basic unit of a neural network that receives input, processes it, and produces an output.
• Neurons are inspired by biological neurons in the human brain.

• They receive input signals, apply weights to them, sum them up, and pass the result through an activation function.

• Neurons are organized in layers in a neural network, with each layer performing specific tasks.

• In deep learning, multiple layers of neurons ar...read more
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Quant questions, you will be able to clear it easily

Task1: create a website with 3 wepages

task2: create custom linux commands

Q1. Problems related to Binary Search
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Q2. Problem statement on BST
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Q1. Questions about SQL
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Q2. Questions about python dataframes
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Q3. Difference between random forest and decision tree
Ans. 
Random forest is an ensemble learning method using multiple decision trees to improve accuracy and reduce overfitting.
• Random forest uses multiple decision trees to make predictions.

• Decision tree is a single tree structure used for classification and regression.

• Random forest reduces overfitting by averaging the predictions of multiple trees.

• Decision tree can be prone to overfitting if not pruned properly.

• Random forest i...read more
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Q1. Basic questions of angular and javascript.
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Q2. Es6 feature , typescript features
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Q3. Promise, observable, focus on syntax of every thing like interceptor, routing, gaurd and all .
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Q1. Behaviour subject, subject, life cycle hooks
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Q2. This round was not very easy in my case.
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Q3. Be prepared for array and object of array questions. Like sorting, searching, filtering , any logic .
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Q1. Basic HR questions and managerial round. Not being hard . But learn about your project and past organisation
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Q1. Need to find output of given code
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Q2. Solve some puzzles
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Q1. Polyfills , basic react app
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I was asked to implement lru cache which i did but still didn’t made to next round as apparently i didn’t complete the working code though in my opinion i did