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DataToBiz Private Limited Artificial Intelligence Intern Interview Questions and Answers

Updated 31 Aug 2023

1 interview found

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Interview experience
4
 Good
Difficulty level
 Moderate
Duration
 Less than 2 weeks
Result
 Not Selected

I applied via LinkedIn and was interviewed in Jul 2023.

2 Interview Rounds

1

Technical Round (1 Question)

  • Q1. Mainly on projects, and basic ML algorithms
2

HR Round (1 Question)

  • Q1. Basic Managerial Questions

Artificial Intelligence Intern Jobs at DataToBiz Private Limited

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Interview questions from similar companies

Interview experience
5
 Excellent
Difficulty level
 Moderate
Duration
 Less than 2 weeks
Result
Selected  Selected

I applied via Referral

3 Interview Rounds

1

Resume Shortlist Round

Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
2

Assignment Round

Conduct the assessment we know theirs skills

3

One-on-one Round (2 Questions)

  • Q1. Print prime numbers in number
  • Q2. What is the difference between var and let

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn before interview

Skills evaluated in this interview

DataToBiz Private Limited Interview FAQs

How many rounds are there in DataToBiz Private Limited Artificial Intelligence Intern interview?
DataToBiz Private Limited interview process usually has 3 rounds. The most common rounds in the DataToBiz Private Limited interview process are Resume Shortlist, Technical and HR.
How to prepare for DataToBiz Private Limited Artificial Intelligence Intern interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at DataToBiz Private Limited . The most common topics and skills that interviewers at DataToBiz Private Limited expect are Aiml, Artificial Intelligence, Computer Vision, Data Collection and Deep Learning.

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