Interview Questions

Prashant S. - "To improve the passenger experience at a major metropolitan airport, I would focus on streamlining the pre-arrival, arrival, and post-flight stages of their journey. Pre-arrival, we could integrate flight details into the Uber app and provide predictive ETAs to help passengers plan better. At the airport, we could partner with authorities to create dedicated drop-off and pickup zones, along with clear in-app navigation to reduce confusion. Post-flight, we could implement dynamic pickup zones, vi"See full answer

Shrey H. - "To determine whether we should introduce a new ads placement on the Uber homepage, I will use the following framework: Clarifying Questions Mission and Goals User Journey and Pain Points A/B Testing Plan Decision-Making Criteria 1. Clarifying Questions To ensure I fully understand the problem, I would ask: What type of ads are we considering? For example, are they full-screen ads, banner ads, or native ads integrated into the feed? --> Take your"See full answer

Nathan C. - "def mostefficientseqscore(parentheses, efficiencyratings): mes = [] for i in range(len(parentheses)): mes.append((parentheses[i], max(efficiency_ratings[i])) return sum([m[1] for m in mes]) `"See full answer

K.nithish K. - "MOD = 10**9 + 7 def max_stability(reliability, availability): max_stability = 1 for r, a in zip(reliability, availability): Compute stability of the current server stability = r * a if stability != 0: Multiply into max_stability and take modulo maxstability = (maxstability * stability) % MOD return max_stability reliability = [1, 2, 2] availability = [1, 1, 3] print(max_stability(reliability, availability)) # Output the result mo"See full answer

fuzzyicecream14 - "1. Sales & Revenue Metrics Total Units Sold – Tracks overall headset sales volume. Revenue Growth (%) – Measures whether revenue is increasing from headset sales over time. Sales by Channel – Identifies how sales are distributed across Google Store, third-party retailers (Amazon, Best Buy), and carrier partnerships. Sales by Region – Helps understand geographic demand and refine regional marketing efforts. Attach Rate – Measures how often the headset is purc"See full answer

fuzzyicecream14 - "1. Sales & Revenue Metrics Total Units Sold – Tracks overall headset sales volume. Revenue Growth (%) – Measures whether revenue is increasing from headset sales over time. Sales by Channel – Identifies how sales are distributed across Google Store, third-party retailers (Amazon, Best Buy), and carrier partnerships. Sales by Region – Helps understand geographic demand and refine regional marketing efforts. Attach Rate – Measures how often the headset is purc"See full answer

Neeraj K. - "Clarify 10X -> usage or revenue Approach What is Msft Copilot & key capabilities Understand the space in which Copilot operates : Target segments & use-cases serve Competitors (alternatives) Leverage microsoft has : Understand the stack (infra -> application layer) -> leverage Understand Microsoft ecosystem & leverage we have Define : 10X growth strategy (for whom -> & what? -> distribution (acquire & retain)) MSft Copilot & key capabilities Cons"See full answer

Preetham m P. - "Clarifying Questions Are we an EdTech company adding this as a new arm, or building a new product? → New product Is the learning mode online or offline? → User can choose Are we focusing on any specific instruments? → No, any instrument Does our product include a marketplace for purchasing instruments? → No Are we building a mobile app or web platform? → Both, for India location User Personas Music Enthusiasts – Full-time learners aim"See full answer

Vishnu G. - "This is a classic strategic dilemma, but the answer for Walmart, given its core business model and strengths, is quite clear: Invest in boosting dish soap production. Here's why: Proven Success: Dish soap is Walmart's top product with strong, established sales. Scaling leverages existing, efficient supply chains and customer demand. Core Competency: Walmart excels at high-volume, low-margin household goods. This aligns perfectly with their business model and customer base. **L"See full answer

Shanti informatics - "Goals; Customer engagement/ acquisition; Persona: 60-70; User journey: Selecting the right flight → Adding details → Selecting the best coupon for payment; Web-Check in; At the airport: Luggage check-in; Boarding; Flight Travel; Arrival: Collecting the luggage from belt; I would be focusing on the first two steps: Selecting right flight + and web check-in → That seems the most challenging aspect an elderly; Pain Points/ Challenges: Selecting the right flight (Duration/ Pric"See full answer

Adi S. - "Addressed the duality of the feature - each user is a consumer and provider Addressed pain points such as cleaning, security "See full answer

Brandy L. - "Restaurant Types High-end Fast-food Regular User Types Restaurants – seeking operational efficiency and increased revenue. Customers – categorized by group size and dining intent: 2–4 Friends/Family – casual dining. Solo Diners – convenience and quick service. Groups > 4 – shared orders and split bills. Goal Design a tablet solution to achieve product-market fit by addressing key pain points and driving high ad"See full answer

Yuexiang Y. - "A Random Forest works by building an ensemble of decision trees, each trained on a slightly different version of the data. The key mechanism is bagging: for each tree, we sample the training data with replacement (bootstrapping), so every tree sees a different subset of examples. On top of that, at each split the algorithm randomly selects a subset of features, so trees explore different predictors. These two sources of randomness decorrelate the trees. When we aggregate them — by averag"See full answer

Carlos S. - "1) Clarifications Is this a Google initiative? Yes Timeline for development? MVP within 3 months. Hotel type? Focus on urban and mid-sized hotels Items to offer? Include ready-to-eat meals/snacks (e.g., microwaveable food, healthy snacks, beverages). Geographic scope? Launch in the US only. 2) Google Mission / Why "Organize the world’s information and make it universally accessible and useful." Google aims to enhance the guest experienc"See full answer

Reno S. - "1. Requirements Analysis Functional Requirements Video streaming with multiple quality levels Content browsing and search Continue watching functionality Content recommendations Non-Functional Requirements Low latency video delivery (<2s startup time) High availability (99.99% uptime) Scalability to handle millions of concurrent streams API response time < 100ms 2. Microservices Architecture Core Microservices Content Service Content metadata mana"See full answer

Kiran R. - "Automated Reimbursement System 1. Clarifying Questions Scope: Will the system be applicable to all employees or only specific grades/levels? Ownership: Are we building this product internally for our own use, or is it intended for external/outsourced usage? MVP Requirements: Besides automation, what additional features or problem statements should the Minimum Viable Product (MVP) address? 2. User Segmentation Commute Expenses: e.g., m"See full answer