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Siemens Deep Learning Research Intern Interview Questions and Answers

Updated 15 Sep 2021

Siemens Deep Learning Research Intern Interview Experiences

1 interview found

I was interviewed in Oct 2020.

Round 1 - Video Call 

(2 Questions)

Round duration - 50 Minutes
Round difficulty - Medium

The interviewer asked me to share my screen so that there won't be any chance for any cheating
There were 2 coding questions + 1 Puzzle

  • Q1. 

    Equilibrium Index Problem Statement

    Given an array Arr consisting of N integers, your task is to find the equilibrium index of the array.

    An index is considered as an equilibrium index if the sum of elem...

  • Ans. Brute Force
    • We can try the brute force approach in which we consider every index starting from 0 as a possible candidate for equilibrium index, and to check if it is really an equilibrium index, we can calculate the sum of elements on both sides of that index, and check if they are equal or not. equal or not.
    • Let us initialise the ans = -1, which will contain our valid index.
    • Since index 0 and n - 1 cannot be possible can...
  • Answered Anonymously
  • Q2. 

    Subset Sum Equal To K Problem Statement

    Given an array/list of positive integers and an integer K, determine if there exists a subset whose sum equals K.

    Provide true if such a subset exists, otherwise r...

  • Ans. Recursion

    The idea is to generate all possible subsets and check if any of them sums up to ‘K’. This can be done through recursion.

     

    Here is the algorithm:

     

    subsetSumToK(N , K , ARR):

    1. Initialize integer variable ‘ANS’ = ‘helper(ARR, N, K)’. Here ‘helper’ is the recursive function that returns true/false.
    2. If ‘ANS’ is equal to 1 then:
      • Return true.
    3. Else:
      • Return false.

     

    helper(ARR, N, K):

    1. Base case: If ‘N’ is less tha...
  • Answered Anonymously
Round 2 - Video Call 

Round duration - 60 Minutes
Round difficulty - Medium

This round is mainly to check the ML concepts + Discussion on past projects

Interview Preparation Tips

Professional and academic backgroundI completed Computer Science Engineering from Indian Institute of Technology Madras. I applied for the job as Deep Learning Research Intern in BangaloreEligibility criteriaAbove 7 CGPASiemens interview preparation:Topics to prepare for the interview - Data Structures, Algorithm, ML concepts and algorithms, probability, Linear AlgebraTime required to prepare for the interview - 3 MonthsInterview preparation tips for other job seekers

Tip 1 : Prepare any 4-5 ML algorithms properly, especially maths and intuition behind it because it will help to explain to the interviewer in a more efficient manner
Tip 2 : Past project in ML/DS will have added advantage in resume shortlisting
Tip 3 : Coding is also necessary for ML profile( you can't take it lightly)

Application resume tips for other job seekers

Tip 1 : Try to add at least one project to the resume which involves some research 
Tip 2 : Try to keep of one page

Final outcome of the interviewSelected

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