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Publicis Sapient Senior Associate Interview Questions and Answers
26 Interview questions
A Java program to demonstrate basic coding principles and functionality.
Use of variables: e.g., String name = 'John';
Control structures: e.g., if (age > 18) { System.out.println('Adult'); }
Loops: e.g., for (int i = 0; i < 10; i++) { System.out.println(i); }
Methods: e.g., public int add(int a, int b) { return a + b; }
Array usage: e.g., String[] fruits = {'Apple', 'Banana', 'Cherry'};
High-Level Design (HLD) for a popular e-commerce platform focusing on scalability, user experience, and security.
Microservices architecture for independent scaling of services like user management, product catalog, and order processing.
Use of a Content Delivery Network (CDN) to enhance performance and reduce latency for global users.
Database design with a combination of SQL (for transactions) and NoSQL (for produc...
Designing a low-level architecture for a popular e-commerce platform like Amazon or eBay.
User Management: Handle user registration, authentication, and profiles.
Product Catalog: Structure for storing product details, categories, and inventory.
Shopping Cart: Manage items added by users, including quantity and price calculations.
Order Processing: Workflow for order placement, payment processing, and order tracking.
S...
The Observer Pattern is a behavioral design pattern where an object (subject) maintains a list of dependents (observers) that are notified of any state changes.
Create an interface for the observer with methods like update()
Create a subject class with methods to add, remove, and notify observers
Implement concrete observer classes that implement the observer interface
When the state of the subject changes, notify all...
Flatten a JSON file by converting nested objects into a single level structure.
Use recursion to iterate through the JSON file and flatten nested objects.
Combine keys from nested objects with parent keys to create unique keys for the flattened structure.
Handle arrays by converting them into separate objects with numerical keys.
Learn how to use SQL window functions for ranking data within partitions.
Window functions allow you to perform calculations across a set of table rows related to the current row.
RANK() assigns a unique rank to each row within a partition, with gaps for ties. Example: RANK() OVER (PARTITION BY department ORDER BY salary DESC).
DENSE_RANK() is similar to RANK() but does not leave gaps in ranking. Example: DENSE_RANK(...
A design system in JS is a collection of reusable components and guidelines for consistent UI design.
Design systems help maintain consistency and efficiency in UI development.
Components in a design system can include buttons, forms, typography, etc.
One example is Material-UI, a popular design system for React applications.
Controlled components are inputs whose value is controlled by React, while uncontrolled components are inputs whose value is controlled by the DOM.
Controlled components are typically used in forms where the input value is controlled by React state.
Uncontrolled components are often used for inputs that do not need to be controlled by React.
Examples of controlled components include input fields with value and onChan...
Debouncing and throttling are techniques used in JavaScript to limit the number of times a function is called.
Debouncing delays the execution of a function until a certain amount of time has passed without it being called again.
Throttling limits the rate at which a function can be called, ensuring it is not called more than once within a specified time interval.
Hosting in JS refers to the behavior of variable declarations being moved to the top of their containing scope during the compilation phase.
Variable declarations are 'hoisted' to the top of their scope, regardless of where the actual declaration occurs.
Only the declarations are hoisted, not the initializations.
Example: var x; console.log(x); var x = 5; // Output: undefined
Publicis Sapient Senior Associate Interview Experiences
42 interviews found
JohnMani Das
(2 Questions)
- Q1. Thread questions
- Q2. Design patterns
(2 Questions)
- Q1. LLD Design of any popular ecommerce
- Ans.
Designing a low-level architecture for a popular e-commerce platform like Amazon or eBay.
User Management: Handle user registration, authentication, and profiles.
Product Catalog: Structure for storing product details, categories, and inventory.
Shopping Cart: Manage items added by users, including quantity and price calculations.
Order Processing: Workflow for order placement, payment processing, and order tracking.
Search...
- Q2. HLD Design of any popular ecommerce
- Ans.
High-Level Design (HLD) for a popular e-commerce platform focusing on scalability, user experience, and security.
Microservices architecture for independent scaling of services like user management, product catalog, and order processing.
Use of a Content Delivery Network (CDN) to enhance performance and reduce latency for global users.
Database design with a combination of SQL (for transactions) and NoSQL (for product cat...
Skills evaluated in this interview
Anonymous
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Questions related to Spring Boot/Junit/Messaging Queue/Microservices
(2 Questions)
- Q1. Implement Observer Pattern
- Ans.
The Observer Pattern is a behavioral design pattern where an object (subject) maintains a list of dependents (observers) that are notified of any state changes.
Create an interface for the observer with methods like update()
Create a subject class with methods to add, remove, and notify observers
Implement concrete observer classes that implement the observer interface
When the state of the subject changes, notify all obse...
- Q2. Implement Fork Join Framework
- Ans.
Fork Join Framework is a feature in Java for parallelizing tasks.
ForkJoinPool class is used to create and manage ForkJoinTasks.
ForkJoinTask class represents a task that can be forked and joined.
Use fork() method to asynchronously execute a subtask.
Use join() method to wait for the result of a subtask.
Skills evaluated in this interview
I applied via Approached by Company and was interviewed in Jul 2024. There were 2 interview rounds.
Just an online test very easy as lost od time where given.
(1 Question)
- Q1. Never got start and intervire interviwer keep reshulding the interview many time even one time even after the start of the inter view interviewer never came to the interview call and latter got informed th...
p k
(2 Questions)
- Q1. Manual and Automation
- Q2. Manual and Automation questions
(2 Questions)
- Q1. Compensation and date
- Q2. Background verification
Question was given to create Api.
(2 Questions)
- Q1. .net core related questions
- Q2. Azure related questions
(1 Question)
- Q1. Behaviour interview
Selected
I applied via LinkedIn and was interviewed in Mar 2024. There were 2 interview rounds.
Assignment repeated to GCP , TERRAFORM ,Scripting
(2 Questions)
- Q1. GCP related, scripting
- Q2. Terraform, Kubernates
Selected
I applied via Naukri.com and was interviewed in Feb 2024. There was 1 interview round.
(3 Questions)
- Q1. Flatten a json file
- Ans.
Flatten a JSON file by converting nested objects into a single level structure.
Use recursion to iterate through the JSON file and flatten nested objects.
Combine keys from nested objects with parent keys to create unique keys for the flattened structure.
Handle arrays by converting them into separate objects with numerical keys.
- Q2. SQL query related to ranks nd window function
- Ans.
Learn how to use SQL window functions for ranking data within partitions.
Window functions allow you to perform calculations across a set of table rows related to the current row.
RANK() assigns a unique rank to each row within a partition, with gaps for ties. Example: RANK() OVER (PARTITION BY department ORDER BY salary DESC).
DENSE_RANK() is similar to RANK() but does not leave gaps in ranking. Example: DENSE_RANK() OVE...
- Q3. Second highest salary for each department
- Ans.
To find the second highest salary for each department, sort the salaries within each department in descending order and select the second highest salary.
Group the salaries by department
Sort the salaries within each department in descending order
Select the second highest salary for each department
Skills evaluated in this interview
Selected
(4 Questions)
- Q1. How to implement DWH n why
- Ans.
A data warehouse (DWH) is implemented to centralize and integrate data from various sources for analysis and reporting purposes.
DWH helps in improving data quality and consistency by integrating data from multiple sources.
It provides a single source of truth for decision-making by consolidating data into a unified view.
DWH enables historical analysis and trend identification by storing large volumes of data over time.
I...
- Q2. Diff between elt vs etl
- Ans.
ELT stands for Extract, Load, Transform while ETL stands for Extract, Transform, Load.
ELT focuses on extracting data from the source, loading it into a target system, and then transforming it within the target system.
ETL focuses on extracting data from the source, transforming it, and then loading it into a target system.
In ELT, the target system has the processing power to handle the transformation tasks.
In ETL, the t...
- Q3. Diff between oltp vs olap
- Ans.
OLTP is a transactional system that handles real-time data processing, while OLAP is an analytical system that deals with historical data analysis.
OLTP focuses on day-to-day operations and supports high transaction volumes.
OLAP focuses on complex queries and data analysis for decision-making.
OLTP databases are normalized for efficient transaction processing.
OLAP databases are denormalized for faster query performance.
O...
- Q4. Use case to create a DHA
- Ans.
A DHA (Data Handling Application) is created to manage and process data efficiently.
Identify the data sources and types of data to be handled
Design a data model and schema for organizing the data
Implement data collection and storage mechanisms
Develop data processing algorithms and workflows
Ensure data security and privacy measures
Create user-friendly interfaces for data input and retrieval
Perform regular data quality c...
Skills evaluated in this interview
I applied via Referral and was interviewed in Jul 2024. There was 1 interview round.
Problem around NER for NLP
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Mehul Jariwala
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based on 34 interview experiences
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Publicis Sapient Senior Associate Reviews and Ratings
based on 242 reviews
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Hyderabad / Secunderabad,
Bangalore / Bengaluru
+14-9 Yrs
₹ 14-25.5 LPA
5-9 Yrs
₹ 5-40 LPA
|
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2.2k
salaries
|  ₹11.2 L/yr - ₹41.8 L/yr |
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Associate Technology L2
1.6k
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| ₹6.7 L/yr - ₹21.5 L/yr |
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Senior Associate Technology L1
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| ₹10.5 L/yr - ₹30 L/yr |
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