ROLE
Backend
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These are the same questions found in the library, grouped here by the capability each one mainly examines.
1216 questions
Questions 101–150 of 1216 on this page.
A · Professional problem solving and implementation17
- How do the costs of a recommender system add up, including retrieval, ranking, feature serving, storage, and experimentation? How would you trade effect against cost?
- How would you design an invitation-based viral marketing campaign? How do you design invitation relationships, reward payout, abuse prevention, and effect evaluation?
- How would you design a real-time risk control system? How do rules, features, models, and manual review work together, and how do you trade false blocks against misses?
- How would you design a search system? How do indexing, retrieval, and ranking divide the work, how are Chinese segmentation and features built, and how do you judge how good the search is?
- How should the loading and request strategy of streaming media be designed so it starts fast and does not stall? How do you trade off segmenting, adaptive bitrate, preloading, and caching?
- Tell me about a project you worked on. Why did you choose that technical approach over the others, how was the decision made, and what were its pros and cons?
- How should coupons, discounts, and flash sales integrate with a trading system without slowing the core transaction flow? How would you calculate, combine, and reconcile discounts?
- Public benchmarks keep improving while internal task performance stalls. How would you investigate evaluation distortion?
- The product wants confident AI conclusions, but evidence supports only probabilistic judgments. How would you design communication and traceability?
- After AI output causes actual user harm, product, model, operations, and review teams all take part in the response. How would you divide incident handling and follow-up improvement?
- After replacing a foundation model, overall metrics remain similar but some users report worse results. How would you identify what changed in model behavior and decide whether to roll back?
- You need to sample production AI conversations for emerging risks, but they contain personal or commercial data. How would you design the review?
- A third-party model provider changes its training, retention, or cross-border terms. When should calls pause or receive renewed approval?
- Average AI quality meets the target, but a few high-risk errors can cause harm. How would you set the release gate?
- An AI assistant can call internal tools, but tasks require different permissions. How would you design authorization and audit?
- When the model cannot establish an answer, should the product refuse, return a low-confidence result, or escalate to a person? What distinguishes the choices?
- Overall AI accuracy passes, but one language or user segment has a higher error rate. How would you assess and respond?
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B · Business understanding and domain modeling32
- Renewal fell by six percentage points this quarter, while the share of small customers among new accounts rose. How would you segment customers, usage periods, and service cost to determine whether product value fell or the customer mix changed?
- Besides your product, what else could users do to get the same job done? What does each alternative compete for, and when is it actually the better choice?
- Sales reports growth using signed contract value, but customers will not use the product for months. How would you distinguish contracting, fulfillment, revenue recognition, and customer value, and explain what the team should observe?
- A premium service tier earns more revenue but consumes more human support, and renewal has not improved. How would you determine whether it creates incremental value?
- A product is sold once but requires long-term support and upgrades. Revenue is growing while the service queue accumulates. How would you decide whether these sales still create value?
- Pick a module you own. Explain who it serves, what input it takes, what output it provides, and follow the user task through to the business result.
- When you explain a business, how do you first lay out the whole and then the position and value of the part you own within it? How does someone without a whole-picture view tell it, and what is the difference?
- A customer buys a bundle and then asks to refund one item. How should the original bundle discount be reallocated?
- A customer cancels before service begins, but the contract, product page, and support system describe the cancellation fee differently. How would you determine the refund and make future orders follow a consistent rule?
- A major customer has a special rate in its contract, but the exception may end at renewal. How would systems and operations avoid keeping the old exception indefinitely?
- A partner prepays credits that expire, and a customer uses or refunds them in several batches around the expiry date. How would you represent credits, consumption, expiry, and refunds in settlement?
- In a system that handles money, how should accounting and billing be designed so the numbers are clear and reconcile? How do you model accounts, entries, holds, settlement, and reconciliation, and how do you trace and correct an error?
- How should amounts, currencies, rounding, and time zones be expressed in a transaction and settlement model? Which practices look fine but break at reconciliation?
- An order may use a membership discount, channel offer, and coupon, with exceptions by product, contract, or region. How would you define eligibility and calculation order so customers see a consistent amount and finance can reconcile refunds?
- The revenue share between a platform and its creators changes in tiers with monthly volume. How would you express this settlement rule so product, engineering, and finance can each verify it independently?
- The business says data must be real time, but no one can explain the cost of a fifteen-minute delay. How would you decide the architecture and freshness target?
- Product, finance, and growth teams each report “active users,” but the numbers differ. What would you ask before deciding whether to standardize the definition?
- Taking concepts such as orders, contracts, and settlements, how are they mapped into the data model? Which concepts were split into several entities, which were merged, and why?
- A user consented to product analytics, then withdrew consent. Derived metrics already reached reports, experiments, and model-training data. How would you model consent state, purpose scope, and propagation?
- A producer plans to rename a field and change an enum’s meaning, while a dozen teams depend on the current schema. How would you manage the change?
- A business object moves across teams as owners change. Audit must reconstruct the owner on a past date, while daily reporting needs current ownership. How would you model both queries?
- A user asks to have personal data deleted, while finance must retain transaction records for audit. How would you define the boundary among deletion, anonymization, and traceability?
- In a behavioral event table, what exactly does one row represent? Explain how you settle its grain, and which statistics go wrong when the grain is unclear.
- A monthly close report was sent to leadership. Days later, a late refund and price correction arrive. The business wants current figures updated, while finance must explain the prior report. How would you model this?
- How does your own business model interact with the industry's or a partner's common model? When fields, definitions, or concepts do not line up, how do you handle it?
- Mobile events may arrive days late, while reports must reflect event time. How would you model and process late, corrected, and duplicate events?
- Orders, payments, and refunds are often stored in one table. How would you distinguish their business identities, lifecycles, and cardinalities? Compare conditions, costs, and validation for separate models and combined storage.
- A critical dataset is reused by several products and reports, but no one can explain its sources, owners, or sensitive fields. How would you improve governance without blocking current use?
- An account moves from sales to customer success mid-month. Monthly metrics must show the outcome and who owned it at each point. How would you define ownership events and reporting rules?
- A fee rule changes today, but a disputed order was created under the old rule. How would you preserve rule versions and transaction facts so finance can reproduce the original calculation?
- A company buys 100 seats used across subsidiaries. Headquarters signs the contract, but some subsidiaries want separate invoices and permission administrators. How would you distinguish customer, contract, organization, account, member, and seat so access and billing stay consistent?
- Customer master data has separate identifiers and states in CRM, billing, and product systems, so downstream reports disagree. How would you establish explainable sources of truth?
No questions in this section match your target. ·
C · Value judgment and direction setting1
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