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InfoObjects Big Data Engineer Interview Questions and Answers

Updated 22 Nov 2023

InfoObjects Big Data Engineer Interview Experiences

1 interview found

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

I applied via campus placement at Indian Institute of Technology (IIT), Delhi and was interviewed before Nov 2022. 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 - One-on-one 

(2 Questions)

  • Q1. SQL question based on joins, aggregation
  • Q2. Write SQL query for getting highest employee salary
  • Ans. 

    SQL query to retrieve the highest employee salary

    • Use the SELECT statement to retrieve the maximum salary from the employee table

    • Use the MAX() function to find the highest salary value

    • Combine the MAX() function with the SELECT statement to get the desired result

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well with respect with profile

Skills evaluated in this interview

Interview questions from similar companies

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

(2 Questions)

  • Q1. What is the full form of ETL?
  • Ans. 

    ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.

    • ETL stands for Extract, Transform, Load

    • Extract: Involves extracting data from various sources such as databases, applications, and files

    • Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...

  • Answered by AI
  • Q2. ETL Full form is Exact, Transform, Load.

Interview Preparation Tips

Interview preparation tips for other job seekers - "Stay persistent, network, actively, continuously upgrade your skills."
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is overfitting in machine learning?
  • Ans. 

    Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor performance on unseen data as the model fails to generalize well.

    • Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

    • ...

  • Answered by AI
  • Q2. Overfitting accurs when a model learns the details.......etc
  • Ans. 

    Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor generalization and high accuracy on training data but low accuracy on new data.

    • Techniques to prevent overfitting include cross-validation, regularization, and...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Research the company before interview.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is the pivot table in Excel
  • Ans. 

    A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.

    • Allows users to summarize and analyze large datasets

    • Can easily reorganize data by dragging and dropping fields

    • Provides options to calculate sums, averages, counts, etc. for data

    • Helps in creating interactive reports and charts

    • Useful for identifying trends and patterns in data

  • Answered by AI
  • Q2. A pivot table is used to summarize...........etc.

Interview Preparation Tips

Interview preparation tips for other job seekers - "tailor your resume for each job application."

Skills evaluated in this interview

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

Forecasting problem - Predict daily sku level sales

Round 2 - Technical 

(2 Questions)

  • Q1. What is difference between bias and variance
  • Ans. 

    Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.

    • Bias is the error introduced by approximating a real-world problem, leading to underfitting.

    • Variance is the error introduced by modeling the noise in the training data, leading to overfitting.

    • High bias can cause a model to miss relevant relationships between features and target variable.

    • High variance can cause a model to ...

  • Answered by AI
  • Q2. Parametric vs non parametruc model
  • Ans. 

    Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.

    • Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.

    • Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.

    • Examples of parametric models inc...

  • Answered by AI

Skills evaluated in this interview

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

Easy and moderate level question

Round 2 - Group Discussion 

Given a relevant topic and discussion on it

Round 3 - HR 

(2 Questions)

  • Q1. Introducd yourself
  • Q2. Why do you want to join us
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
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 

Reasoning and aptitude questions were asked

Round 3 - One-on-one 

(1 Question)

  • Q1. Interview was around python programming and team fitment
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Mar 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Mostly about projects ml, nlp, python code would be asked
Round 2 - Technical 

(1 Question)

  • Q1. It would be focused on technical stuff in detail ml, nlp, deployments etc
Round 3 - HR 

(1 Question)

  • Q1. Organisation fit

InfoObjects Interview FAQs

How many rounds are there in InfoObjects Big Data Engineer interview?
InfoObjects interview process usually has 2 rounds. The most common rounds in the InfoObjects interview process are Resume Shortlist and One-on-one Round.
How to prepare for InfoObjects Big Data Engineer 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 InfoObjects. The most common topics and skills that interviewers at InfoObjects expect are Big Data, Java, MySQL, Python and RDBMS.
What are the top questions asked in InfoObjects Big Data Engineer interview?

Some of the top questions asked at the InfoObjects Big Data Engineer interview -

  1. write SQL query for getting highest employee sal...read more
  2. SQL question based on joins, aggregat...read more

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InfoObjects Big Data Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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InfoObjects Big Data Engineer Salary
based on 5 salaries
₹4 L/yr - ₹11 L/yr
37% less than the average Big Data Engineer Salary in India
View more details

InfoObjects Big Data Engineer Reviews and Ratings

based on 1 review

4.0/5

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4.0

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4.0

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3.0

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4.0

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4.0

Company culture

3.0

Promotions

4.0

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