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phData Associate Data Engineer Interview Questions and Answers

Updated 26 Aug 2024

phData Associate Data Engineer Interview Experiences

1 interview found

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

I applied via Campus Placement and was interviewed before Aug 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Pen and paper test that included writing SQL queries. And there was a basic programing question for which you could only use python or java.There was also a google form with MCQs of computer fundamentals.

Round 2 - Technical 

(3 Questions)

  • Q1. Resume based questions
  • Q2. Pillars of Object oriented programing
  • Ans. 

    Pillars of OOP are Inheritance, Encapsulation, Abstraction, and Polymorphism.

    • Inheritance allows a class to inherit properties and behaviors from another class.

    • Encapsulation restricts access to certain components of an object, protecting its integrity.

    • Abstraction hides complex implementation details and only shows necessary features.

    • Polymorphism allows objects to be treated as instances of their parent class.

  • Answered by AI
  • Q3. Given a node value in a linked list, delete the node.
  • Ans. 

    To delete a node in a linked list, update the pointers of the previous node to skip the node to be deleted.

    • Traverse the linked list to find the node to be deleted.

    • Update the pointers of the previous node to skip the node to be deleted.

    • Free the memory allocated to the node to be deleted.

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Resume based round and questions on project
  • Q2. A few mangerial questions.

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
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
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

I applied via Walk-in and was interviewed in Aug 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 - HR 

(7 Questions)

  • Q1. What is your Qualification
  • Q2. What's your expectation regarding your Salary
  • Q3. What is your family background
  • Q4. How old are you are you twenty years old
  • Q5. What is your highest qualification
  • Q6. Is your brother working
  • Q7. If so Work From Home

Interview Preparation Tips

Interview preparation tips for other job seekers - Read the Questions Carefully and then select your answers
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 - 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 - 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 Questionnaire 

1 Question

  • Q1. Situation based question on experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared for what is in CV
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

phData Interview FAQs

How many rounds are there in phData Associate Data Engineer interview?
phData interview process usually has 3 rounds. The most common rounds in the phData interview process are Technical and Coding Test.
How to prepare for phData Associate 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 phData . The most common topics and skills that interviewers at phData expect are Machine Learning, Python, Analytical, Application Development and Big Data.
What are the top questions asked in phData Associate Data Engineer interview?

Some of the top questions asked at the phData Associate Data Engineer interview -

  1. Given a node value in a linked list, delete the no...read more
  2. Pillars of Object oriented program...read more
  3. Resume based round and questions on proj...read more

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phData Associate Data Engineer Interview Process

based on 2 interviews

Interview experience

5
  
Excellent
View more

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phData Associate Data Engineer Salary
based on 19 salaries
₹2 L/yr - ₹8 L/yr
14% less than the average Associate Data Engineer Salary in India
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phData Associate Data Engineer Reviews and Ratings

based on 2 reviews

4.6/5

Rating in categories

4.4

Skill development

5.0

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4.4

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4.4

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5.0

Company culture

4.0

Promotions

4.4

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