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Cognifyz Technologies Machine Learning Engineer Intern Interview Questions and Answers

Updated 17 Aug 2024

1 interview found

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Interview experience
4
Good
Difficulty level
-
Duration
-
Result
-

1 Interview Round

1

Technical Round (2 Questions)

  • Q1. What is Bagging and Boosting
  • Q2. What is Principal Component Analysis

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
-
Duration
-
Result
-

1 Interview Round

1

One-on-one Round (2 Questions)

  • Q1. Details explain about project
  • Q2. Explain Module in ml

Skills evaluated in this interview

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

I applied via Company Website and was interviewed in Nov 2024.

2 Interview Rounds

1

Aptitude Test Round

Logical, Verbal, reasoning 90 mins

2

Technical Round (2 Questions)

  • Q1. ML algorithms and Explain it?
  • Q2. Print even numbers in for loop?
Interview experience
5
Excellent
Difficulty level
Moderate
Duration
2-4 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Aug 2024.

2 Interview Rounds

1

Technical Round (3 Questions)

  • Q1. What is evaluation Matrix for classification
  • Q2. What L1 and L2 regression
  • Q3. Explain random forest algorithm
2

HR Round (2 Questions)

  • Q1. Tell me about self
  • Q2. Questions about salary discuss

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Apr 2024.

3 Interview Rounds

1

HR Round (2 Questions)

  • Q1. Screening round: Tell me about your experiences?
  • Q2. Tell me Learning and development challenges you faced and improvements you have done
2

Aptitude Test Round

Genral and technical aptitude test

3

Technical Round (5 Questions)

  • Q1. Overall experience?
  • Q2. What was challenging role in previous org?
  • Q3. How you see L&D from your perspective?
  • Q4. How you tackle problems in your role?
  • Q5. How will you onboard 500 candidates every month?

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared and try to avoid silly mistakes. Focus on attire and communications.
Interview experience
3
Average
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Sep 2024.

1 Interview Round

1

Technical Round (2 Questions)

  • Q1. Basic Stats questions
  • Q2. Basic ML questions
Interview experience
5
Excellent
Difficulty level
Moderate
Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn

1 Interview Round

1

HR Round (2 Questions)

  • Q1. Describe about yourself
  • Q2. Why is this job
Interview experience
4
Good
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Selected Selected

1 Interview Round

1

Technical Round (1 Question)

  • Q1. Started with basic os or network fundamentals like analyzing a core dump, handling tcp packet loss, difference between rest api and grpc etc. Then, from ML star...read more
Interview experience
5
Excellent
Difficulty level
-
Duration
-
Result
-

2 Interview Rounds

1

One-on-one Round (2 Questions)

  • Q1. Projects we have done earlier
  • Q2. Aptitude questions
2

HR Round (1 Question)

  • Q1. Shift timings and salary discussion
Interview experience
3
Average
Difficulty level
-
Duration
-
Result
-

1 Interview Round

1

One-on-one Round (1 Question)

  • Q1. Questions from the resume

Cognifyz Technologies Interview FAQs

How many rounds are there in Cognifyz Technologies Machine Learning Engineer Intern interview?
Cognifyz Technologies interview process usually has 1 rounds. The most common rounds in the Cognifyz Technologies interview process are Technical.
What are the top questions asked in Cognifyz Technologies Machine Learning Engineer Intern interview?

Some of the top questions asked at the Cognifyz Technologies Machine Learning Engineer Intern interview -

  1. What is Principal Component Analy...read more
  2. What is Bagging and Boost...read more

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