← Sam's Club Interview Insights
The prompt was deliberately vague, which I didn't fully appreciate at first.
Start by clarifying the criteria and data structure, then discuss a general filtering approach. Implement a solution that iterates through products and checks each against the criteria, considering efficiency and edge cases.
Pro tip: Demonstrate adaptability by acknowledging ambiguous requirements and proposing a flexible solution that can easily accommodate changes, such as using a predicate function or strategy pattern.
Ask questions to understand the criteria format, product attributes, and expected output. Confirm if the filtering should be inclusive or exclusive, and if multiple criteria can be combined.
Decide on appropriate data structures for products and criteria. Consider using a list for products and a dictionary or object for attributes, and a function or lambda for the criteria.
Outline a simple iteration approach: loop through each product, check if it matches the criteria, and collect matches. Discuss time complexity and potential optimizations like indexing if needed.
Consider empty product list, missing attributes, invalid criteria, and performance for large datasets. Mention how to handle these gracefully.
Write clean code with meaningful variable names, and walk through a test case to verify correctness. Mention unit testing or edge case testing.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Pretty straightforward, nothing that'll keep you up at night.
First, clarify the custom variation by asking targeted questions about the rules, input format, and edge cases. Then, outline a stack-based solution, explaining how to adapt the classic algorithm to handle the new constraints, and analyze time and space complexity.
Pro tip: Demonstrate maturity by discussing potential ambiguities and proposing test cases before coding. This shows you think like a senior engineer who values correctness and collaboration.
Ask questions to understand the custom variation: What characters are considered parentheses? Are there multiple types? What are the matching rules? What should the function return?
Explain that you'll use a stack to track opening brackets. For each character, if it's an opening bracket, push it; if it's a closing bracket, check if it matches the top of the stack.
Describe how to modify the classic algorithm for the custom variation, such as supporting wildcards, multiple bracket types, or additional constraints like maximum depth.
State that the time complexity is O(n) and space complexity is O(n) in the worst case, but may be optimized to O(1) if only one type of bracket and no wildcards.
Walk through a few test cases, including edge cases like empty string, single bracket, and nested brackets, to verify the solution.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Start by clarifying functional and non-functional requirements, such as scale, latency, and delivery guarantees. Then design a high-level architecture covering subscription management, event ingestion, and push notification delivery, diving into trade-offs for each component. Finally, discuss how to handle failures, scale, and ensure reliability.
Pro tip: Emphasize the importance of idempotency and deduplication in notification delivery to avoid spamming users, and discuss how to handle retailer events that may trigger a large fan-out.
Ask questions to understand scale (number of users, retailers, events per day), latency requirements, delivery guarantees (at-least-once, exactly-once), and user preferences (e.g., opt-out, frequency capping).
Outline the main components: a subscription service (managing user-retailer relationships), an event ingestion pipeline (receiving retailer events), a matching engine (identifying interested users), and a notification delivery service (sending push notifications via APNs/FCM).
Detail each component: how subscriptions are stored (e.g., database schema), how events are processed (e.g., message queue, stream processing), how matching scales (e.g., fan-out on write vs. read), and how notifications are sent reliably (e.g., retries, dead-letter queues).
Discuss trade-offs such as push vs. pull for event delivery, synchronous vs. asynchronous processing, and how to scale each part (e.g., sharding, partitioning). Mention consistency vs. availability for subscription data.
Explain how to handle failures (e.g., retries, idempotency, deduplication), ensure delivery guarantees, and manage edge cases like user unsubscribes, retailer event bursts, and notification fatigue.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
This was part of the online assessment and the one area where I didn't get full marks.
Start by reproducing the bug and understanding the expected behavior, then systematically inspect the code for common React pitfalls like state mutation, missing keys, or incorrect dependency arrays. Fix the issues one at a time, verifying each change with tests or manual checks, and explain your reasoning throughout.
Pro tip: Before diving into fixes, use React DevTools to inspect component props, state, and re-renders—this often reveals the root cause faster than reading code. Also, mention how you'd prevent similar bugs with linting rules or tests.
Run the app, reproduce the bug, and clarify the expected behavior. Check the console for errors or warnings.
Use React DevTools and code inspection to identify potential causes, such as state mutation, stale closures, or improper effect dependencies.
Apply a targeted fix, then verify it resolves the issue without breaking other functionality. Run tests or manually test related features.
Explain the root cause and how the fix works. Suggest preventive measures like lint rules, tests, or code review practices.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Use the STAR method to structure your answer, focusing on a specific situation where you faced a challenge, ambiguity, or cross-functional misalignment. Highlight your actions as a software engineer to drive alignment and outcomes, and quantify the results to show impact. Choose a story that demonstrates both adaptability and collaboration.
Pro tip: Emphasize how you turned ambiguity into clarity by asking questions, proposing solutions, and aligning stakeholders—this shows leadership without authority, which is highly valued at Sam's Club.
Briefly describe the project, team, and the challenge or ambiguity you faced. Keep it concise to focus on your actions.
Detail the specific difficulty: unclear requirements, conflicting priorities, technical hurdles, or cross-team dependencies. Highlight why it was challenging.
Explain the steps you took to navigate the challenge, such as facilitating discussions, prototyping, or aligning stakeholders. Focus on your specific contributions.
Quantify the results: improved efficiency, reduced bugs, faster delivery, or better team alignment. Mention any lessons learned.
Relate the experience to Sam's Club's values, such as member focus, teamwork, or innovation, to show cultural fit.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.