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Impetus Technologies Learning & Development Specialist Interview Questions and Answers

Updated 3 Sep 2024

Impetus Technologies Learning & Development Specialist Interview Experiences

1 interview found

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

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

Round 1 - HR 

(2 Questions)

  • Q1. About yourself?
  • Q2. Work background
Round 2 - Technical 

(2 Questions)

  • Q1. Situation based question
  • Q2. Technical questions

Interview Preparation Tips

Interview preparation tips for other job seekers - As per my experience, they perform all L&D activities by themselves like facilitation, coordinator, tracking, content creation and stakeholder management. So that’s little strange for me

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Python question on list comprehension
  • Q2. Python related questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Superset and was interviewed before May 2022. There were 5 interview rounds.

Round 1 - Resume Shortlist 
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
Round 2 - Assignment 

We had Assignment/test which consists of nearly
-87 MCQs
-3 coding questions


In mcqs, all fundamental cs subjects with maths, data science, ml, deeplearning questions.

In coding they asked
i) Nested list question (medium level)
ii) string and array question (easy leavel)
iii) related to dp (medium level)



Platform they used is hackerearth.

Round 3 - Technical 

(2 Questions)

  • Q1. Basic intro. Question on CS fundamentals. Question on Projects. Questions on python and coding. Question on classical ML, some deep learning concepts.
  • Q2. Classical ml concept and some deep learning concepts. Basic string, list, LinkedIn list, problem solving questions
Round 4 - Technical 

(2 Questions)

  • Q1. It was basically half technical and half HR
  • Ans. Asked about project. Indepth question in project. ML side projects. Some behaviour questions to make sure that u are capable to learn fast.
  • Answered Anonymously
  • Q2. Question on projects
Round 5 - HR 

(3 Questions)

  • Q1. Basic intro News of selection
  • Q2. Just interaction, that ur selected
  • Q3. Basic interaction

Interview Preparation Tips

Topics to prepare for Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Intern interview:
  • DSA
  • Python
  • Machine Learning
  • Deep Learning
  • Problem Solving
Interview preparation tips for other job seekers - Clear about classical ml, nlp, cv, time series concepts.
Clear python understanding (intermediate level).
Good problem solving (try to solve DSA).
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Focus more on python funda,ental and spark

Round 2 - Assignment 

They will ask more on datarbcisk related stuff

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare well on python and prepare databricks adf and devops
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Apr 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - One-on-one 

(4 Questions)

  • Q1. Project related questions
  • Q2. Questions on deep learning, nlp, cv, traditional ml
  • Q3. Questions related to cloud aws/gcp/azure any one would suffice
  • Q4. Deployment experience and questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in May 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - Coding Test 

It was 1 hour coding test with 2 questions. One was easy and another was medium level coding question.

Round 3 - Technical 

(3 Questions)

  • Q1. Few SQL Queries
  • Q2. Explain null hypothesis and p-value in terms of probability
  • Ans. 

    Null hypothesis is a statement that assumes no relationship or difference between variables. P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true.

    • Null hypothesis is a statement that assumes no effect or relationship between variables

    • P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true

    • Null hy...

  • Answered by AI
  • Q3. Explain Linear and Logistic Regression
  • Ans. 

    Linear regression is used for predicting continuous numerical values, while logistic regression is used for predicting binary categorical values.

    • Linear regression models the relationship between a dependent variable and one or more independent variables using a linear equation.

    • Logistic regression models the probability of a binary outcome using a logistic function.

    • Linear regression is used for tasks like predicting hou...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Tiger Analytics Machine Learning Engineer interview:
  • SQL
  • Machine Learning
  • Data Science
  • Python
Interview preparation tips for other job seekers - Prepare for data science related questions and basic machine learning algorithms (Decision tree, PCA, etc.). Also prepare for SQL queries.

Skills evaluated in this interview

I applied via Referral and was interviewed in May 2021. There were 4 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. Explain the transformer architecture and positional encoders?
  • Ans. 

    Transformer architecture is a neural network architecture used for natural language processing tasks. Positional encoders are used to encode the position of words in a sentence.

    • Transformer architecture is based on the self-attention mechanism.

    • It consists of an encoder and a decoder.

    • Positional encoders are added to the input embeddings to encode the position of words in a sentence.

    • They are computed using sine and cosine...

  • Answered by AI
  • Q2. Explain about project mentioned in resume?
  • Q3. Mostly NLP related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Stick to basics and explain projects in details

Skills evaluated in this interview

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

I applied via Naukri.com and was interviewed before Jun 2023. There was 1 interview round.

Round 1 - Coding Test 

4 technical questions, 1 python code, 2 SQL, 1 Spark

Interview Preparation Tips

Topics to prepare for Tiger Analytics Machine Learning Engineer interview:
  • Spark
  • SQL
  • Python
  • Hadoop
  • Hive
Interview preparation tips for other job seekers - Be confident and good in your skills

I was interviewed before May 2021.

Round 1 - Technical 

(2 Questions)

  • Q1. Asked about transformers
  • Q2. PCA and data science related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be strong with your basics and have knowledge about NLP

I was interviewed in Jun 2017.

Interview Questionnaire 

3 Questions

  • Q1. Tell me about about yourself?
  • Q2. Tell about your academic or your hands on projects in which you are involved?
  • Q3. Expected CTC?

Interview Preparation Tips

Round: Resume Shortlist
Experience: This round was "General Introduction Round" in which we have to introduce about our self-tell about hobbies and our family background and some lines about our hometown.
Tips: Just be confident and speak loudly and boldly.

Round: Test
Experience: It was online coding round via skype in which 5 questions were given out of which we have to do any 2.
Tips: "More you will practice more you will learn".
Duration: 20 minutes
Total Questions: 5

Round: Technical + HR Interview
Experience: This round was a combo with both technical and job questions. Questions were asked from my resume, basics questions in technical, general definitions and major questions from my project.
Tips: Specifically for Engineers searching for Data Scientist or Machine Learning based jobs, focus on your projects have done and do involve in the projects either on GitHub or haggle.
Clear your basic concepts and have a good knowledge of programming language like Python, R etc.

College Name: IIIT Bhubaneswar

Impetus Technologies Interview FAQs

How many rounds are there in Impetus Technologies Learning & Development Specialist interview?
Impetus Technologies interview process usually has 2 rounds. The most common rounds in the Impetus Technologies interview process are HR and Technical.
What are the top questions asked in Impetus Technologies Learning & Development Specialist interview?

Some of the top questions asked at the Impetus Technologies Learning & Development Specialist interview -

  1. Situation based quest...read more
  2. Technical questi...read more

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