Interview Questions

Ilakiya R. - " Design & Architecture Overview: The system was a scalable, cloud-based web application built to manage customer data and automate service requests. Frontend: React.js: Chosen for its component-based architecture, reusable UI, and fast rendering using Virtual DOM. Backend: Node.js with Express.js: Selected for non-blocking I/O, scalability, and rapid API development. Database: MongoDB: Used for its flexible schema, scalability, and ease of handling unstructured data. Authentication: JWT"See full answer

Simran S. - "I recently led the development and implementation of a data analytics platform tailored for credit unions and mortgage companies, which was suffering from fragmented systems, inconsistent data fields across LOS platforms, and outdated reporting practices. Here's how I managed the full lifecycle: ✅ Initiation / Discovery Conducted executive interviews across five financial institutions to understand reporting and visibility gaps. Shadowed loan officers and underwriters"See full answer

Katie O. - "When originally trying to launch XYZ product, a stakeholder wanted to rollout an additional requirement for agents that would have been redundant. I provided light pushback and context regarding the scale of the lift and technical resources required to initiate their request. Once I described the complexity of their request & potential strain on resources, we agreed to brainstorm alternative solutions. I collaborated with cross-functional teams to create an automated solution, leading to XYZ% in"See full answer

Ankit J. - "Clarifying Questions: Are we looking to create a product for creators or the end users? - Creators What kind of product are we looking to build? (App /Website/Embedded within the Instagram product ) - Embedded within the app Why do we want to enter the edtech market? (Anything specific insight we have gained which we want to solve for?) - The creator's market is growing substantially and people want to gain knowledge on how to become successful in it. Are there any money or time con"See full answer

Million D. - "Machine learning software engineer interviews at Google are really challenging. The questions are difficult, specific to Google, and they cover a wide range of topics."See full answer

Kiran M. - "I started off with developing microservices for the game and then incorporating kafka to make it scalable"See full answer

Rani Y. - "Design a Fundraising product Clarifying questions : Are we creating this a standalone product or creating this within Meta apps ? Global product ? Lets say global product What is fundraising ? Raising money for cause Why is it imp ? Allows individuals to see bigger changes with small contributios why now? increased social causes, creator economy, or global crises. Want to make it accessible for everyday person rather than limiting to bigger organizations Ties into Metas mission to give"See full answer