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Impact Analytics Deep Learning Engineer Interview Questions and Answers

Updated 31 Oct 2023

Impact Analytics Deep Learning Engineer Interview Experiences

1 interview found

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

I applied via Naukri.com and was interviewed before Oct 2022. There were 3 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 - Technical 

(3 Questions)

  • Q1. What are different types of regression analysis ?
  • Ans. 

    Different types of regression analysis include linear regression, logistic regression, polynomial regression, ridge regression, and lasso regression.

    • Linear regression: Predicts a continuous outcome based on one or more input features.

    • Logistic regression: Predicts the probability of a binary outcome.

    • Polynomial regression: Fits a curve to the data by including polynomial terms.

    • Ridge regression: Adds a penalty term to the...

  • Answered by AI
  • Q2. What is confusion matrix?
  • Ans. 

    Confusion matrix is a table used to evaluate the performance of a classification model.

    • It is a matrix with rows representing the actual class and columns representing the predicted class.

    • It helps in visualizing the performance of a classification model by showing the counts of true positive, true negative, false positive, and false negative predictions.

    • It is commonly used in machine learning to assess the quality of th...

  • Answered by AI
  • Q3. Questions around python programming
Round 3 - Technical 

(2 Questions)

  • Q1. Explain the architecture of Transformer based models.
  • Ans. 

    Transformer based models use self-attention mechanism to capture long-range dependencies in data.

    • Transformer models consist of encoder and decoder layers.

    • Self-attention mechanism allows each word to attend to all other words in the input sequence.

    • Positional encoding is added to input embeddings to provide information about the position of words.

    • Transformer models have achieved state-of-the-art results in various NLP ta...

  • Answered by AI
  • Q2. Different NLP techniques around extraction of text.
  • Ans. 

    Various NLP techniques for text extraction include Named Entity Recognition, Part-of-Speech tagging, and Dependency Parsing.

    • Named Entity Recognition (NER) identifies entities such as names, dates, and locations in text.

    • Part-of-Speech tagging assigns grammatical categories to words in a sentence.

    • Dependency Parsing analyzes the grammatical structure of a sentence to identify relationships between words.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Impact Analytics Deep Learning Engineer interview:
  • Machine Learning
  • Deep Learning
  • Transformers
  • BERT
  • NLP
  • Python
  • Statistics
  • Pandas
  • Excel
Interview preparation tips for other job seekers - The interview process from start to end is good. There are a total of 3 rounds including one HR round. Most of the questions asked are around the domain area and level is moderate. The interview process is engaging and friendly and open for suggestions. Applicant should have good experience and knowledge on the domain area (eg. Data Science). Retail domain knowlege is a plus.

Skills evaluated in this interview

Top trending discussions

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Interview Tips & Stories
1w
toobluntforu
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works at
Cvent
Can speak English, can’t deliver in interviews
I feel like I can't speak fluently during interviews. I do know english well and use it daily to communicate, but the moment I'm in an interview, I just get stuck. since it's not my first language, I struggle to express what I actually feel. I know the answer in my head, but I just can’t deliver it properly at that moment. Please guide me
Got a question about Impact Analytics?
Ask anonymously on communities.

Interview questions from similar companies

I applied via Recruitment Consultant and was interviewed in Dec 2020. There were 3 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. API testing methods
  • Ans. 

    API testing methods involve functional, performance, security, and exploratory testing.

    • Functional testing ensures that the API meets the requirements and specifications.

    • Performance testing checks the API's response time, throughput, and resource utilization.

    • Security testing verifies the API's authentication, authorization, and encryption mechanisms.

    • Exploratory testing involves ad-hoc testing to discover defects and usa...

  • Answered by AI
  • Q2. Difference between sanity and smoke
  • Ans. 

    Sanity and Smoke are types of software testing. Sanity tests a specific functionality while Smoke tests the entire system.

    • Sanity testing is a narrow and deep testing approach while Smoke testing is a broad and shallow testing approach.

    • Sanity testing is performed after a small change in code while Smoke testing is performed after a major change in code.

    • Sanity testing is used to check if the critical functionalities are ...

  • Answered by AI
  • Q3. Difference between retesting and regression
  • Ans. 

    Retesting is testing the same functionality again after fixing the defects. Regression is testing the unchanged functionality after making changes.

    • Retesting is done to ensure that the defects have been fixed and the functionality is working as expected.

    • Regression is done to ensure that the changes made to the software have not affected the existing functionality.

    • Retesting is a subset of regression testing.

    • Retesting is ...

  • Answered by AI
  • Q4. Bug life cycle

Interview Preparation Tips

Interview preparation tips for other job seekers - It was technical based interview round.

Skills evaluated in this interview

Deep Learning Engineer Interview Questions Asked at Other Companies

asked in Dubverse
Q1. Graph Coloring Problem You are given a graph with 'N' vertices nu ... read more
asked in Dubverse
Q2. Wildcard Pattern Matching Problem Statement Implement a wildcard ... read more
Q3. What are the different types of regression analysis?
Q4. Different NLP techniques around extraction of text.
Q5. Explain the architecture of Transformer based models.

I appeared for an interview before Sep 2020.

Round 1 - Coding Test 

(1 Question)

Round duration - 60 mins
Round difficulty - Medium

  • Q1. 

    Railway Seat Berth Determination

    Given a railway seat number represented as an integer, determine if it is a valid seat number and identify its berth type. Possible berth types include lower berth, middle...

  • Ans. 

    Given a railway seat number, determine if it is valid and identify its berth type.

    • Parse input integer 't' for number of test cases

    • For each test case, check if seat number is valid (1 <= N <= 100)

    • Identify berth type based on seat number and output the result

    • Possible berth types are Lower, Middle, Upper, Side Lower, and Side Upper

  • Answered by AI
Round 2 - Video Call 

(1 Question)

Round duration - 90 mins
Round difficulty - Hard

First they asked me to introduce myself then they started questioning on oops concept from basic to advance level such as inheritance, polymorphism, abstraction, exception handling , STL etc. Next they started questioning on data structures. They asked me the logic of “how to find the middle of a linked list”.

  • Q1. 

    Matrix Symmetry Check

    You are provided with a square matrix. Your task is to return true if the matrix is symmetric; otherwise, return false.

    A symmetric matrix is characterized by its transpose being eq...

  • Ans. 

    Check if a square matrix is symmetric by comparing it with its transpose.

    • Iterate through the matrix and compare each element with its corresponding element in the transpose

    • If any pair of elements do not match, return false immediately

    • If all pairs match, return true at the end

  • Answered by AI

Interview Preparation Tips

Professional and academic backgroundI completed Computer Science Engineering from K. K. Wagh Institute Of Engineering Education And Research. I applied for the job as Software Engineer in PuneEligibility criteria6.0 CGPAJosh Technology Group interview preparation:Topics to prepare for the interview - Data Structures, OOPS, DBMS, Python, SQLTime required to prepare for the interview - 3 monthsInterview preparation tips for other job seekers

Tip 1 : Clear the basic concepts of data structure and OOPs.
Tip 2 : Use coding ninja platform and Hackerearth for practice on coding skills.
Tip 3 : Use Geeks For Geeks for interview preparation.

Application resume tips for other job seekers

Tip 1: Make your resume short and try to make it of one page only.
Tip 2: Add relevant keywords

Final outcome of the interviewRejected

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Aptitude Test 

Question on various topics

Round 2 - Coding Test 

More questions on oops, coding

Interview Preparation Tips

Interview preparation tips for other job seekers - None

I applied via Campus Placement and was interviewed in Apr 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 - Aptitude Test 

Basic aptitude questions. Just keep a track of time

Round 3 - Coding Test 

2nd round is coding round. You can expect Leetcode medium questions. The topics asked are Linked list, Trees and arrays.

Round 4 - Coding Test 

3rd round is again the Coding Test. Level of questions is Leetcode Medium to Leetcode Hard. Topics covered are Trees, Doubly Linked List, Dp etc.

Round 5 - Technical 

(2 Questions)

  • Q1. 4th round is an hour-long technical interview. The interviewer will start by asking about your introduction and you can expect some questions about your introduction or projects. The rest of the time is gi...
  • Q2. The questions were House Robber 3 from leetcode and some questions based on the binary array.

Interview Preparation Tips

Topics to prepare for Josh Technology Group Software Engineer interview:
  • Data Structures
  • Algorithms
Interview preparation tips for other job seekers - Just focus on Data structure and Algorithms. During the coding rounds keep track of time.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Not selected but the questions were mostly based on DSA time complexity and pseudo code

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

I appeared for an interview in Mar 2024.

Round 1 - Technical 

(1 Question)

  • Q1. Mostly on OOP's basic and some tricky questions related SOLID concepts
Are these interview questions helpful?
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview in Jul 2024.

Round 1 - Coding Test 

Leet code medium level question

Round 2 - Technical 

(2 Questions)

  • Q1. About Java Streams
  • Q2. Restful API coding completion based on given file
  • Ans. 

    Guide to completing a RESTful API coding task with essential pointers and examples.

    • Understand REST principles: Use HTTP methods (GET, POST, PUT, DELETE) appropriately.

    • Define clear endpoints: Example - /api/users for user-related operations.

    • Implement status codes: Use 200 for success, 404 for not found, 500 for server errors.

    • Use JSON for data interchange: Ensure requests and responses are in JSON format.

    • Consider authent...

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. To check your attitude
  • Q2. Given detailed about company and what project you are going to work on?
Round 4 - One-on-one 

(5 Questions)

  • Q1. Hashmap working
  • Q2. Multithreading cases
  • Q3. Scenario specific on how to handle multiple events on a single variable to have accurate result
  • Ans. 

    Managing multiple events on a single variable requires careful synchronization to ensure accurate results.

    • Use locks or mutexes to prevent race conditions when accessing the variable.

    • Implement event debouncing to limit the frequency of updates, ensuring only the final event is processed.

    • Utilize a queue to handle events sequentially, processing them one at a time to maintain accuracy.

    • Consider using atomic operations for ...

  • Answered by AI
  • Q4. Database indexing
  • Q5. Architecture level

I applied via Referral and was interviewed before Aug 2021. There were 2 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 - Aptitude Test 

General topics like mathe, English, social etc

Interview Preparation Tips

Topics to prepare for IT By Design Software Engineer interview:
  • Python
  • general
Interview preparation tips for other job seekers - It is best choice to our life . If I can join in this company. I can learn more things by gaining work experience.
Round 1 - Group Discussion 

It represents the eligibility of person and thinking process ,view of thoughts

Round 2 - One-on-one 

(1 Question)

  • Q1. We cannot judge people to atonce chance
Round 3 - Coding Test 

Skills ,fast typing , experienced ,new ideas

Round 4 - Technical 

(1 Question)

  • Q1. All the knowledge of technical work and word
Round 5 - Case Study 

Deeply study case and make a point to make attractive

Interview Preparation Tips

Interview preparation tips for other job seekers - Every chance have a successful of key.will appreciate all chance to way of your dreams .move a first steps towards your dreams

Impact Analytics Interview FAQs

How many rounds are there in Impact Analytics Deep Learning Engineer interview?
Impact Analytics interview process usually has 3 rounds. The most common rounds in the Impact Analytics interview process are Technical and Resume Shortlist.
What are the top questions asked in Impact Analytics Deep Learning Engineer interview?

Some of the top questions asked at the Impact Analytics Deep Learning Engineer interview -

  1. What are different types of regression analysi...read more
  2. Explain the architecture of Transformer based mode...read more
  3. Different NLP techniques around extraction of te...read more

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Overall Interview Experience Rating

5/5

based on 1 interview experience

Difficulty level

Moderate 100%

Duration

Less than 2 weeks 100%
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4.0

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