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Babbel Learning Manager Interview Questions and Answers

Updated 25 Apr 2024

Babbel Learning Manager Interview Experiences

1 interview found

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Not Selected

I applied via Referral and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - Case Study 

Develop a product case - panel

Round 2 - One-on-one 

(1 Question)

  • Q1. Name a brand you admire

Interview Preparation Tips

Interview preparation tips for other job seekers - Consider ROI

Interview questions from similar companies

I applied via Company Website and was interviewed in Dec 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. How amazon can help
  • Ans. 

    Amazon can help by providing various learning resources and tools for managers.

    • Amazon offers a wide range of books and e-books on management and leadership.

    • Amazon Web Services (AWS) provides online courses and certifications for IT and business professionals.

    • Amazon also has a program called Amazon Career Choice which provides employees with tuition assistance for in-demand fields.

    • Amazon also has a vast network of exper...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Selfintroduction must be good. Then take about u r work
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Company Website and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Logical, Verbal, reasoning 90 mins

Round 2 - Technical 

(2 Questions)

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

I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. What is evaluation Matrix for classification
  • Ans. 

    Evaluation metrics for classification are used to assess the performance of a classification model.

    • Common evaluation metrics include accuracy, precision, recall, F1 score, and ROC-AUC.

    • Accuracy measures the proportion of correctly classified instances out of the total instances.

    • Precision measures the proportion of true positive predictions out of all positive predictions.

    • Recall measures the proportion of true positive p...

  • Answered by AI
  • Q2. What L1 and L2 regression
  • Ans. 

    L1 and L2 regression are regularization techniques used in machine learning to prevent overfitting.

    • L1 regression adds a penalty equivalent to the absolute value of the magnitude of coefficients.

    • L2 regression adds a penalty equivalent to the square of the magnitude of coefficients.

    • L1 regularization can lead to sparse models, while L2 regularization tends to shrink coefficients towards zero.

    • L1 regularization is also know...

  • Answered by AI
  • Q3. Explain random forest algorithm
  • Ans. 

    Random forest is an ensemble learning algorithm that builds multiple decision trees and combines their predictions.

    • Random forest creates multiple decision trees using bootstrapping and feature randomization.

    • Each tree in the random forest is trained on a subset of the data and features.

    • The final prediction is made by averaging the predictions of all the trees (regression) or taking a majority vote (classification).

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. Tell me about self
  • Ans. 

    I am a dedicated and passionate Machine Learning Engineer with a strong background in computer science and data analysis.

    • Experienced in developing machine learning models for various applications

    • Proficient in programming languages such as Python, R, and Java

    • Skilled in data preprocessing, feature engineering, and model evaluation

    • Strong understanding of algorithms and statistical concepts

    • Excellent problem-solving and ana

  • Answered by AI
  • Q2. Questions about salary discuss

Skills evaluated in this interview

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

I applied via Recruitment Consulltant and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

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

Genral and technical aptitude test

Round 3 - Technical 

(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?
  • Ans. 

    By creating a structured onboarding process, utilizing technology for efficiency, and leveraging a team of trainers.

    • Develop a comprehensive onboarding program with clear objectives and timelines.

    • Utilize technology such as online training modules and virtual onboarding sessions.

    • Assign a team of trainers to handle different aspects of the onboarding process.

    • Implement a buddy system where existing employees mentor new hir...

  • Answered by AI

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
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

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

I applied via LinkedIn

Round 1 - HR 

(2 Questions)

  • Q1. Describe about yourself
  • Ans. 

    I am a passionate and experienced Learning & Development Specialist with a strong background in designing and delivering effective training programs.

    • Over 5 years of experience in creating engaging learning materials

    • Skilled in conducting needs assessments and developing training plans

    • Proficient in utilizing various instructional design methodologies

    • Strong communication and presentation skills

    • Proven track record of impro...

  • Answered by AI
  • Q2. Why is this job
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected
Round 1 - Technical 

(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 started with basic questions like bias variance t...
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

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

    A module in machine learning is a self-contained unit that performs a specific task or function.

    • Modules can include algorithms, data preprocessing techniques, evaluation metrics, etc.

    • Modules can be combined to create a machine learning pipeline.

    • Examples of modules include decision trees, support vector machines, and k-means clustering.

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Questions from the resume

Babbel Interview FAQs

How many rounds are there in Babbel Learning Manager interview?
Babbel interview process usually has 2 rounds. The most common rounds in the Babbel interview process are Case Study and One-on-one Round.

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Babbel Learning Manager Interview Process

based on 1 interview

Interview experience

2
  
Poor
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