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EDS Technologies
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I applied via Monster and was interviewed in Jun 2023. There were 3 interview rounds.
To implement a graph in Java, use classes to represent nodes and edges, and use data structures like adjacency lists or matrices.
Create a Node class to represent each node in the graph
Create an Edge class to represent connections between nodes
Use an adjacency list or matrix to store the graph structure
Implement graph traversal algorithms like BFS or DFS
Java OOPs concept refers to the Object-Oriented Programming principles in Java, including encapsulation, inheritance, polymorphism, and abstraction.
Encapsulation: Bundling data and methods that operate on the data into a single unit (class).
Inheritance: Allowing a class to inherit properties and behavior from another class.
Polymorphism: Ability to present the same interface for different data types.
Abstraction: Hiding ...
I applied via Approached by Company and was interviewed before Aug 2022. There were 4 interview rounds.
I applied via Naukri.com and was interviewed before Aug 2022. There were 2 interview rounds.
I applied via Campus Placement and was interviewed before Nov 2022. There were 3 interview rounds.
Aptitude was generally and easy you can clear it with basics to
GD was gd with topics people sharing ideas not aggressive but giid
EDS Technologies interview questions for popular designations
I applied via Referral and was interviewed before Mar 2022. There were 3 interview rounds.
I applied via Company Website and was interviewed in May 2019. There were 3 interview rounds.
Important factors in designing a product
Understanding customer needs and requirements
Considering materials and manufacturing processes
Ensuring functionality and usability
Incorporating safety and regulatory standards
Balancing cost and quality
Considering environmental impact
Incorporating feedback and continuous improvement
Top trending discussions
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
To create a pipeline in Databricks, you can use Databricks Jobs or Apache Airflow for orchestration.
Use Databricks Jobs to create a pipeline by scheduling notebooks or Spark jobs.
Utilize Apache Airflow for more complex pipeline orchestration with dependencies and monitoring.
Leverage Databricks Delta for managing data pipelines with ACID transactions and versioning.
An abstract class is a class that cannot be instantiated and may contain abstract methods that must be implemented by its subclasses.
Cannot be instantiated directly
May contain abstract methods
Used as a blueprint for other classes
Abstraction is the process of hiding complex details and showing only the essential features of an object or system.
Abstraction allows us to focus on what an object does, rather than how it does it
It helps in simplifying complex systems by breaking them down into smaller, more manageable parts
Examples of abstraction include using a car without needing to understand its internal combustion engine, or using a smartphone
QuickSort is one of the best sorting algorithms with an average time complexity of O(n log n).
QuickSort is a divide and conquer algorithm that works by selecting a 'pivot' element and partitioning the array around the pivot.
It has an average time complexity of O(n log n) and a worst-case time complexity of O(n^2).
Example: ['apple', 'banana', 'cherry', 'date', 'fig'] can be sorted using QuickSort.
Example: ['3', '1', '4'...
Bubble sorting has a time complexity of O(n^2) for a sorted list.
Bubble sorting has a worst-case time complexity of O(n^2) for a sorted list.
The time complexity does not change even if the list is already sorted.
Example: If we have a sorted list of size n, bubble sorting will still take O(n^2) time.
Yes, I have been to multiple states other than Jharkhand.
I have traveled to states like Maharashtra, Karnataka, and Tamil Nadu for work and leisure.
I have visited tourist destinations in states like Rajasthan, Kerala, and Himachal Pradesh.
I have family in states like Uttar Pradesh, Bihar, and West Bengal, which I have visited multiple times.
posted on 17 Jan 2025
I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.
Reversing a linked list in Java using iterative approach.
Create three pointers: prev, current, and next.
Iterate through the list, updating pointers to reverse the links.
Return the new head of the reversed list.
Handle StaleElementReferenceException by re-locating the element before interacting with it.
Use try-catch block to catch StaleElementReferenceException
Re-locate the element using findElement method before interacting with it
Use WebDriverWait to wait for the element to become stale
I have worked on various projects involving test automation, performance testing, and quality assurance processes.
Developed automated test scripts using Selenium WebDriver for web applications
Conducted performance testing using JMeter to identify bottlenecks and optimize system performance
Implemented quality assurance processes to ensure software meets requirements and standards
Collaborated with cross-functional teams ...
My strategy for designing an automation framework involves identifying key functionalities, selecting appropriate tools, creating reusable components, implementing robust error handling, and integrating with CI/CD pipelines.
Identify key functionalities to be automated based on priority and impact on testing.
Select appropriate tools and technologies based on the application under test and team expertise.
Create reusable ...
posted on 17 Dec 2024
I applied via Instahyre and was interviewed in Nov 2024. There was 1 interview round.
Use SQL query to count number of reportees for each manager and filter out those with atleast 5 reportees.
Write a SQL query to count number of reportees for each manager using GROUP BY clause
Add HAVING clause to filter out managers with atleast 5 reportees
Example: SELECT managerId, COUNT(id) AS num_reportees FROM table_name GROUP BY managerId HAVING num_reportees >= 5
Use libraries like pandas and dask to efficiently manage large datasets in Python.
Use pandas library for data manipulation and analysis.
Use dask library for parallel computing and out-of-core processing.
Optimize memory usage by loading data in chunks or using data types efficiently.
Consider using cloud services like AWS S3 or Google BigQuery for storing and processing large datasets.
Some commonly used Python libraries for Data Analysts are Pandas, NumPy, Matplotlib, and Scikit-learn.
Pandas - used for data manipulation and analysis
NumPy - used for numerical computing and working with arrays
Matplotlib - used for data visualization
Scikit-learn - used for machine learning and data mining
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