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Capgemini Pyspark Developer Interview Questions and Answers

Updated 22 Oct 2024

Capgemini Pyspark Developer Interview Experiences

2 interviews found

Interview experience
4
Good
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 - Coding Test 

1. Find duplicate
2. 2,3 highest salary

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
No response
Round 1 - Coding Test 

Basic to moderate sql questions

Interview Preparation Tips

Topics to prepare for Capgemini Pyspark Developer interview:
  • SQL
  • Spark

Pyspark Developer Interview Questions Asked at Other Companies

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Q3. What is the process to orchestrate code in Google Cloud Platform ... read more
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Q4. What is the SQL code for calculating year-on-year growth percenta ... read more
asked in Cognizant
Q5. What is the SQL query to find the second highest rank in a datase ... read more

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Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Walk-in and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. What are the optimization techniques used in Apache Spark?
  • Ans. 

    Optimization techniques in Apache Spark improve performance and efficiency.

    • Partitioning data to distribute work evenly

    • Caching frequently accessed data in memory

    • Using broadcast variables for small lookup tables

    • Optimizing shuffle operations by reducing data movement

    • Applying predicate pushdown to filter data early

  • Answered by AI
  • Q2. What is the difference between coalesce and repartition, as well as between cache and persist?
  • Ans. 

    Coalesce reduces the number of partitions without shuffling data, while repartition increases the number of partitions by shuffling data. Cache and persist are used to persist RDDs in memory.

    • Coalesce is used to reduce the number of partitions without shuffling data, while repartition is used to increase the number of partitions by shuffling data.

    • Coalesce is more efficient when reducing partitions as it avoids shuffling...

  • Answered by AI
Round 2 - One-on-one 

(2 Questions)

  • Q1. What is the SQL query to find the second highest rank in a dataset?
  • Ans. 

    SQL query to find the second highest rank in a dataset

    • Use the ORDER BY clause to sort the ranks in descending order

    • Use the LIMIT and OFFSET clauses to skip the highest rank and retrieve the second highest rank

    • Example: SELECT rank FROM dataset ORDER BY rank DESC LIMIT 1 OFFSET 1

  • Answered by AI
  • Q2. What is the SQL code for calculating year-on-year growth percentage with year-wise grouping?
  • Ans. 

    The SQL code for calculating year-on-year growth percentage with year-wise grouping.

    • Use the LAG function to get the previous year's value

    • Calculate the growth percentage using the formula: ((current year value - previous year value) / previous year value) * 100

    • Group by year to get year-wise growth percentage

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. What tools are used to connect Google Cloud Platform (GCP) with Apache Spark?
  • Ans. 

    To connect Google Cloud Platform with Apache Spark, tools like Dataproc, Cloud Storage, and BigQuery can be used.

    • Use Google Cloud Dataproc to create managed Spark and Hadoop clusters on GCP.

    • Store data in Google Cloud Storage and access it from Spark applications.

    • Utilize Google BigQuery for querying and analyzing large datasets directly from Spark.

  • Answered by AI
  • Q2. What is the process to orchestrate code in Google Cloud Platform (GCP)?
  • Ans. 

    Orchestrating code in GCP involves using tools like Cloud Composer or Cloud Dataflow to schedule and manage workflows.

    • Use Cloud Composer to create, schedule, and monitor workflows using Apache Airflow

    • Utilize Cloud Dataflow for real-time data processing and batch processing tasks

    • Use Cloud Functions for event-driven serverless functions

    • Leverage Cloud Scheduler for job scheduling

    • Integrate with other GCP services like BigQ...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Cognizant Pyspark Developer interview:
  • sql
  • spark
  • python
  • Cloud
Interview preparation tips for other job seekers - It is essential to prepare thoroughly before the interview.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Why Spark is used?
  • Ans. 

    Spark is used for big data processing due to its speed, scalability, and ease of use.

    • Spark is used for processing large volumes of data quickly and efficiently.

    • It offers in-memory processing which makes it faster than traditional MapReduce.

    • Spark provides a wide range of libraries for diverse tasks like SQL, streaming, machine learning, and graph processing.

    • It can run on various platforms like Hadoop, Kubernetes, and st...

  • Answered by AI
  • Q2. What are RDDs and DataFrames
  • Ans. 

    RDDs and DataFrames are data structures in Apache Spark for processing and analyzing large datasets.

    • RDDs (Resilient Distributed Datasets) are the fundamental data structure of Spark, representing a collection of elements that can be operated on in parallel.

    • DataFrames are distributed collections of data organized into named columns, similar to a table in a relational database.

    • DataFrames are built on top of RDDs, providi...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Basic python coding, list, dict, generators etc

Round 2 - HR 

(1 Question)

  • Q1. Salary negotiation

Interview Preparation Tips

Topics to prepare for DXC Technology Pyspark Developer interview:
  • Python
  • Spark
  • RDD
  • SQL
Interview preparation tips for other job seekers - Code well
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Conceptual questions
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Basic SQL and Python Questions
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 Mar 2023. 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 - Technical 

(5 Questions)

  • Q1. What are oops concepts in java, explain real time scenario
  • Ans. 

    OOPs concepts in Java include inheritance, polymorphism, encapsulation, and abstraction.

    • Inheritance allows a subclass to inherit properties and methods from a superclass.

    • Polymorphism allows objects to take on multiple forms and behave differently based on their context.

    • Encapsulation hides the implementation details of an object and only exposes necessary information.

    • Abstraction allows for the creation of abstract class...

  • Answered by AI
  • Q2. Uses of interface, inheritance
  • Ans. 

    Interfaces define contracts for behavior, while inheritance allows for code reuse and polymorphism.

    • Interfaces allow for loose coupling and abstraction, enabling multiple implementations of the same behavior.

    • Inheritance allows for code reuse and extension of existing classes, reducing code duplication.

    • Polymorphism allows objects of different classes to be treated as if they were of the same class, simplifying code and i

  • Answered by AI
  • Q3. SQL query for join of tables
  • Ans. 

    SQL query for joining tables

    • Use JOIN keyword to combine two or more tables based on a related column

    • Specify the columns to be selected using SELECT keyword

    • Use ON keyword to specify the condition for joining the tables

    • Different types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN

  • Answered by AI
  • Q4. Java concepts used in your project
  • Ans. 

    Used Java concepts such as inheritance, polymorphism, and exception handling in my project.

    • Implemented inheritance to create a base class and derived classes with specific functionalities.

    • Utilized polymorphism to allow objects of different classes to be treated as if they were of the same class.

    • Implemented exception handling to handle errors and prevent program crashes.

    • Used interfaces to define a set of methods that a ...

  • Answered by AI
  • Q5. Overloading vs overriding, practical uses
  • Ans. 

    Overloading is having multiple methods with the same name but different parameters. Overriding is having a method in a subclass with the same name and parameters as a method in the superclass.

    • Overloading is used to provide different ways to call a method with different parameters

    • Overriding is used to provide a specific implementation of a method in a subclass

    • Overloading is resolved at compile-time while overriding is r...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Zebra Technologies Software Developer interview:
  • Core Java
  • OOPS
  • collection framework
  • Database Management

Skills evaluated in this interview

I applied via campus placement at Hindustan College of Science and Technology, Agra and was interviewed in Mar 2021. There were 5 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. Some basics questions about project
  • Q2. How to find 2nd largest salary of the person
  • Q3. Complexity of the algorithm
  • Ans. 

    Complexity of an algorithm refers to the amount of resources required to execute it.

    • Complexity can be measured in terms of time and space complexity.

    • Time complexity refers to the number of operations required to execute the algorithm.

    • Space complexity refers to the amount of memory required to execute the algorithm.

    • Common time complexities include O(1), O(log n), O(n), O(n log n), O(n^2), O(2^n), O(n!).

    • Optimizing algori...

  • Answered by AI
  • Q4. Java (OOps)

Interview Preparation Tips

Interview preparation tips for other job seekers - Go only with the basics

Skills evaluated in this interview

Interview Questionnaire 

2 Questions

  • Q1. OOPS Concepts
  • Q2. Threads Concepts

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared on basic java

Capgemini Interview FAQs

How many rounds are there in Capgemini Pyspark Developer interview?
Capgemini interview process usually has 1 rounds. The most common rounds in the Capgemini interview process are Coding Test.
How to prepare for Capgemini Pyspark 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 Capgemini. The most common topics and skills that interviewers at Capgemini expect are SQL, Python, Big Data, Spark and Hive.

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Capgemini Pyspark Developer Interview Process

based on 2 interviews

Interview experience

4.5
  
Good
View more
Capgemini Pyspark Developer Salary
based on 22 salaries
₹4.6 L/yr - ₹19 L/yr
36% more than the average Pyspark Developer Salary in India
View more details

Capgemini Pyspark Developer Reviews and Ratings

based on 2 reviews

4.9/5

Rating in categories

4.0

Skill development

4.0

Work-life balance

4.0

Salary

4.0

Job security

4.0

Company culture

4.0

Promotions

4.0

Work satisfaction

Explore 2 Reviews and Ratings
PySpark Developer

Pune

4-9 Yrs

Not Disclosed

Pyspark Developer

Noida

6-11 Yrs

Not Disclosed

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