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Prodapt Python Developer Interview Questions and Answers

Updated 21 Oct 2022

Prodapt Python Developer Interview Experiences

1 interview found

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 

(2 Questions)

  • Q1. 1.Python Core Concept 2.Sql Queries 3.Coding Question
  • Q2. 4.oops concept 5.project level question

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well what ever you write in your resume.Be confident for role and responsibility.

Python Developer Jobs at Prodapt

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Interview questions from similar companies

Interview experience
2
Poor
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in May 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Basic questions about python and related to JD
Round 2 - Technical 

(1 Question)

  • Q1. In depth questions based on JD

Interview Preparation Tips

Interview preparation tips for other job seekers - Please read the JD properly and prepare accordingly. Update your resume according to the JD.
The interview process contained 2 technical rounds. I cleared both the rounds and then got a call from HR saying that they want to go ahead with me and asked me for my documents for background verification.
The issue with value labs’ interview process is that after clearing all of your rounds, your profile is then sent to the client and client can reject your profile without even talking to you. The same thing happened to me.

I applied via Naukri.com and was interviewed in Aug 2021. There was 1 interview round.

Interview Questionnaire 

3 Questions

  • Q1. 1. What are decorators
  • Ans. 

    Decorators are functions that modify the behavior of other functions without changing their source code.

    • Decorators are denoted by the '@' symbol followed by the decorator function name.

    • They can be used to add functionality to a function, such as logging or timing.

    • Decorators can also be used to modify the behavior of a class or method.

    • They are commonly used in web frameworks like Flask and Django.

    • Examples of built-in de...

  • Answered by AI
  • Q2. 2. What is Namespace in Python
  • Ans. 

    Namespace is a container that holds identifiers (names) used to avoid naming conflicts.

    • Namespace is created at different moments and has different lifetimes.

    • Python implements namespaces as dictionaries.

    • There are four types of namespaces in Python: built-in, global, local, and non-local.

    • Namespaces can be accessed using the dot (.) operator.

    • Example: 'import math' creates a namespace 'math' that contains all the functions

  • Answered by AI
  • Q3. Write Algorithm for Soduku
  • Ans. 

    Algorithm to solve Sudoku puzzle

    • Create a 9x9 grid to represent the puzzle

    • Fill in known numbers

    • For each empty cell, try numbers 1-9 until a valid number is found

    • Backtrack if no valid number can be found

    • Repeat until all cells are filled

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn about Soduku before appearing for interview

Skills evaluated in this interview

I applied via LinkedIn and was interviewed in Apr 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Python basics, one DSA question, DNS lookup process in full detail, GIL, memory management in python, copy vs deepcopy

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thorough with your python knowledge, web frameworks, memory management in Python and networking concepts especially DNS lookup process
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Technical 

(2 Questions)

  • Q1. Shifts the zeros to right
  • Ans. 

    Shift all zeros in an array to the right while maintaining the order of non-zero elements.

    • Iterate through the array and move all non-zero elements to the front of the array.

    • Fill the remaining elements with zeros.

    • Maintain the relative order of non-zero elements.

  • Answered by AI
  • Q2. What is decorator?
  • Ans. 

    A decorator is a design pattern in Python that allows adding new functionality to an existing object without modifying its structure.

    • Decorators are denoted by the @ symbol followed by the decorator function name.

    • They are commonly used to modify or extend the behavior of functions or methods.

    • Decorators can be used for logging, timing, authentication, caching, etc.

    • Example: @staticmethod, @classmethod, @property

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewer expecting same answer what he have in his mind

Skills evaluated in this interview

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

Simple python programming concepts

Round 2 - Technical 

(2 Questions)

  • Q1. Basic System design of inter service communication in transactional systems.
  • Ans. 

    Inter service communication in transactional systems involves designing a reliable and efficient way for services to communicate and exchange data.

    • Use asynchronous messaging systems like RabbitMQ or Kafka to decouple services and ensure reliable message delivery.

    • Implement RESTful APIs for synchronous communication between services, using HTTP methods like GET, POST, PUT, DELETE.

    • Consider using gRPC for high-performance,...

  • Answered by AI
  • Q2. Loading and processing a file with huge data volume
  • Ans. 

    Use pandas library for efficient loading and processing of large files in Python.

    • Use pandas read_csv() function with chunksize parameter to load large files in chunks.

    • Optimize memory usage by specifying data types for columns in read_csv() function.

    • Use pandas DataFrame methods like groupby(), merge(), and apply() for efficient data processing.

    • Consider using Dask library for parallel processing of large datasets.

    • Use gen...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain Microservices and monolythic
  • Ans. 

    Microservices are small, independent services that work together, while monolithic is a single, large application.

    • Microservices are loosely coupled, allowing for independent development and deployment.

    • Monolithic applications are tightly integrated, making it harder to scale and maintain.

    • Microservices communicate through APIs, while monolithic applications have all components within the same codebase.

    • Examples of microse...

  • Answered by AI
  • Q2. Basics SQL queries

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Aug 2021. There was 1 interview round.

Interview Questionnaire 

3 Questions

  • Q1. 1. What are decorators
  • Ans. 

    Decorators are functions that modify the behavior of other functions without changing their source code.

    • Decorators are denoted by the '@' symbol followed by the decorator function name.

    • They can be used to add functionality to a function, such as logging or timing.

    • Decorators can also be used to modify the behavior of a class or method.

    • They are commonly used in web frameworks like Flask and Django.

    • Examples of built-in de...

  • Answered by AI
  • Q2. 2. What is Namespace in Python
  • Ans. 

    Namespace is a container that holds identifiers (names) used to avoid naming conflicts.

    • Namespace is created at different moments and has different lifetimes.

    • Python implements namespaces as dictionaries.

    • There are four types of namespaces in Python: built-in, global, local, and non-local.

    • Namespaces can be accessed using the dot (.) operator.

    • Example: 'import math' creates a namespace 'math' that contains all the functions

  • Answered by AI
  • Q3. Write Algorithm for Soduku
  • Ans. 

    Algorithm to solve Sudoku puzzle

    • Create a 9x9 grid to represent the puzzle

    • Fill in known numbers

    • For each empty cell, try numbers 1-9 until a valid number is found

    • Backtrack if no valid number can be found

    • Repeat until all cells are filled

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn about Soduku before appearing for interview

Skills evaluated in this interview

I applied via LinkedIn and was interviewed in Apr 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Python basics, one DSA question, DNS lookup process in full detail, GIL, memory management in python, copy vs deepcopy

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thorough with your python knowledge, web frameworks, memory management in Python and networking concepts especially DNS lookup process
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is List Comprehension
  • Ans. 

    List comprehension is a concise way to create lists in Python by iterating over an existing list or iterable.

    • Syntax: [expression for item in iterable]

    • Can include conditions: [expression for item in iterable if condition]

    • Can be nested: [[i*j for j in range(1, 4)] for i in range(1, 4)]

    • Can be used to create new lists from existing lists efficiently

  • Answered by AI
  • Q2. What are the types of Serializers in Django
  • Ans. 

    Types of Serializers in Django include ModelSerializer, Serializer, and HyperlinkedModelSerializer.

    • ModelSerializer: Used to serialize Django model instances.

    • Serializer: Generic serializer class for custom data serialization.

    • HyperlinkedModelSerializer: Includes hyperlinks to related resources in the serialized data.

  • Answered by AI

Skills evaluated in this interview

Prodapt Interview FAQs

How many rounds are there in Prodapt Python Developer interview?
Prodapt interview process usually has 2 rounds. The most common rounds in the Prodapt interview process are Resume Shortlist and Technical.
How to prepare for Prodapt Python Developer 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 Prodapt. The most common topics and skills that interviewers at Prodapt expect are Python, Flask, Auto Plotter, Automation Framework and Automation Tools.
What are the top questions asked in Prodapt Python Developer interview?

Some of the top questions asked at the Prodapt Python Developer interview -

  1. 1.Python Core Concept 2.Sql Queries 3.Coding Quest...read more
  2. 4.oops concept 5.project level quest...read more

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