Interview Questions

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

Meagan R. - "Collaborate with the team to determine which team's product will move the needle the most in achieving the strategic goals and prioritize that work."See full answer

Dhruv M. - "I was assigned to a project where the executive team said they wanted to "improve customer satisfaction" but provided no specific metrics, target outcomes, or scope. The initial brief was vague; they mentioned customer complaints were increasing, but hadn't quantified the problem or identified which customer segments or processes were involved. My responsibility was to lead the analysis and develop a solution; however, first, I needed to transform this ambiguous directive into a clearly defined"See full answer

Aishwarya J. - "Looking into licensing data for users to match with the validity of their plans , to set up reporting okr's and metrics from the ground up and future problem sculpting for future feature additions I developed the metrics from the existing data tables , with uniform interpretation for datasets used across teams, keeping the modifications done in alignment with the requirements of the stakeholders. Hypotheses for licensing metrics was laid out in a defined manner where it was feasible to cherry"See full answer

Ankit kumar S. - "Been thinking about entering the world of data analytics? There’s no better time to get started! The Harvard Business Review named the roles of data analyst and data scientist as “the sexiest job of the 21st century.” The data analyst role was also included in Career Karma’s top tech jobs for the past three years running.In this article, we’ll talk about why becoming a da"See full answer

Ankit kumar S. - "A 25% drop-off rate at sign-up for a new app, especially one from Meta, indicates a significant challenge in onboarding and user retention. To analyze this, consider external, internal, and product-specific factors. Identify Potential Causes: External Factors:Competition: Are other platforms offering a more attractive or simpler signup process? Timing: Is there a recent major event or trend that might be influencing user behavior? User Experience: Is the signup process clunk"See full answer

Ankit kumar S. - "To analyze a year-over-year (YoY) slowdown in transactions, you should start by understanding the context, segmenting data, identifying potential drivers, and then formulating actionable recommendations. This involves a structured approach that includes a thorough examination of the data, both internally and externally. Understand the Context: Define "transactions": What specific transactions are being analyzed (e.g., website purchases, in-store purchases, total transactions)? Timeframe: Sp"See full answer