Visa
10+ Outpace Consulting Services Interview Questions and Answers
Q1. Given a grid containing 0s and 1s and source row and column, in how many ways, could we reach form source to target. ( 1's represents a blockade and 0's represent accessable points)
Count the number of ways to reach target from source in a grid with 0s and 1s.
Use dynamic programming to solve the problem efficiently.
Traverse the grid using DFS or BFS to count the number of ways.
Consider edge cases like when source and target are the same or when there is no path.
Example: Given grid = [[0,0,0],[0,1,0],[0,0,0]], source = (0,0), target = (2,2), answer is 2.
Example: Given grid = [[0,1],[0,0]], source = (0,0), target = (1,1), answer is 1.
Q2. 1. High Level System Design -> Design Uber like Service. Follow up -> What would be your tech stack for designing such a service to make sure it could scale when needed.
Tech stack for designing a scalable Uber-like service.
Use microservices architecture for scalability and fault tolerance.
Choose a cloud provider with auto-scaling capabilities.
Use a load balancer to distribute traffic across multiple instances.
Use a NoSQL database for high availability and scalability.
Use message queues for asynchronous communication between services.
Use containerization for easy deployment and management.
Use caching to improve performance.
Use monitoring and ...read more
Q3. (HLD) -> Design a service which combines multiple sources of data/documentation and aggregates it such that all info is available centrally.
Design a service to aggregate multiple sources of data/documentation centrally.
Identify sources of data/documentation
Determine data aggregation method
Design a centralized database to store aggregated data
Develop a user-friendly interface to access the data
Ensure data security and privacy
Q4. Given a monolith architecture, how would you scale it to handle 3x the traffic and also improve response time on API's during peak hours by using cache
To scale a monolith architecture and improve response time, use horizontal scaling and implement caching.
Implement horizontal scaling by adding more instances of the monolith application behind a load balancer
Use a distributed cache to store frequently accessed data and reduce database queries
Implement caching at different levels such as application-level caching, database query caching, and HTTP response caching
Use a caching strategy based on the data access patterns and exp...read more
Q5. Given two sorted arrays, a (m elements, size m+n) and b (n elements, size n) merge both the arrays into the first array a.
Merge two sorted arrays into the first array
Start from the end of both arrays and compare elements
Place the larger element at the end of the first array
Continue this process until all elements are merged
Q6. Class design for a cache implementation, implement get(), put(), initialization methods
Design a cache class with get(), put(), and initialization methods.
Define a class with a data structure to store key-value pairs.
Implement a get() method to retrieve a value from the cache based on a given key.
Implement a put() method to add or update a key-value pair in the cache.
Implement an initialization method to set the initial capacity and eviction policy of the cache.
Consider using a hash map or a linked list to store the key-value pairs efficiently.
Handle cache size ...read more
Q7. Design a custom data structure based on requirement
Custom data structure for array of strings
Use a trie data structure to efficiently store and search for strings
Implement methods for adding, removing, and searching for strings in the trie
Consider optimizing the trie for memory usage and performance
Q8. internal working - of DB structures and indices etc
Understanding internal workings of DB structures and indices is crucial for optimizing database performance.
DB structures refer to how data is organized within a database, such as tables, columns, and relationships.
Indices are data structures that improve the speed of data retrieval operations by providing quick access to specific data values.
Understanding how indices work can help in optimizing query performance by reducing the number of rows that need to be scanned.
Common t...read more
Q9. Spring boot API endpoint description
Spring Boot API endpoint is a URL that exposes the functionality of a web service.
API endpoints are the entry points for the client to access the server's resources.
Spring Boot provides a simple and easy way to create RESTful APIs.
Endpoints can be secured using Spring Security.
Endpoints can be documented using Swagger or Spring REST Docs.
Examples: /users, /products, /orders
Q10. how to implement timer
A timer can be implemented using a combination of system time and a loop that checks for elapsed time.
Get the current system time at the start of the timer
Enter a loop that continuously checks the difference between the current system time and the start time
When the desired time has elapsed, perform the desired action or trigger an event
Q11. how to implement useEffect
useEffect is a hook in React that allows you to perform side effects in functional components.
useEffect is used to handle side effects in React components.
It takes two arguments: a function and an optional array of dependencies.
The function inside useEffect is executed after the component renders.
The optional array of dependencies determines when the effect should run.
If the array of dependencies is empty, the effect runs only once after the initial render.
If the array of dep...read more
Q12. Built a react feature
Built a react feature
Identify the specific feature to be built
Design the component hierarchy and state management
Implement the feature using React components and hooks
Test the feature for functionality and user experience
Refactor and optimize the code for performance
Q13. Design an econmerce website
Design an ecommerce website for online shopping
User-friendly interface for easy navigation
Secure payment gateway integration
Product categorization and search functionality
Customer reviews and ratings
Responsive design for mobile compatibility
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