USE CASE
Promotion preparation
These are the same questions found in the library, grouped here by the capability each one mainly examines.
1060 questions
Questions 51–100 of 1060 on this page.
A · Professional problem solving and implementation25
- The repository has hundreds of packages and full CI is slow. The team wants to test only “affected” areas. How would you prove selective testing does not miss critical dependencies?
- A core flow passes mouse testing, but keyboard or screen-reader users cannot complete it. How would you include accessibility in release gates?
- A critical user journey across several pages and services regresses often. How would you define the scope and priority of automated tests?
- A user requests deletion of personal data, but some records have reached backups, analytics warehouses, and downstream systems. How would you design a verifiable deletion process?
- A widely used dependency is disclosed as critically vulnerable, but upgrading may introduce compatibility issues. How would you sequence the response?
- Service failures have exceeded the target range, but the business has firm feature commitments. How would you adjust the release pace and investment in reliability?
- Backups report success, but the team has never verified restored data integrity or recovery time. How would you establish demonstrable recovery capability?
- A new external service will access user data and trigger internal actions. How would you perform a lightweight but effective threat model?
- Issuing a coupon after payment used to run synchronously, and it is being changed to an async queue with retries. Review this change: which failure sequences worry you most, and what would you rehearse before release?
- How would you design a platform where operations staff build campaigns and game mechanics themselves? How do you abstract campaigns, mechanics, rules, and features into configurable parts, and how do you keep a configuration correct once it goes live?
- From an engineering view, how do you estimate the overall cost of a system? How are storage and compute costs each calculated, and which grow linearly with scale and which do not?
- When the business operates across several countries and regions and user data must flow across borders, how do you solve data compliance in systems and processes, and how do you judge and decide in gray areas where the rules are unclear?
- A major promotion or international launch may increase traffic fivefold next year. Starting from the current architecture, how would you check for bottlenecks in the gateway, critical request flows, storage, and machine resources? How would you phase the work, staff it, and validate your assumptions?
- 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?
- 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?
- 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?
No questions in this section match your target. ·
B · Business understanding and domain modeling21
- 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?
- 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?
- 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?
- 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?
- 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 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?
- 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?
- 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?
- An account may hold a base plan, temporary trial, campaign benefit, and support credit. Systems implement precedence differently, so access sometimes flips. How would you define eligibility and conflict rules?
- An order has a single status field that means both fulfillment progress and payment result, and several teams read it. How would you split it into two concepts and move old data and old consumers over smoothly?
- Duplicate registration created two customer entities later confirmed to be the same company. Reports should unify them, while contracts, approvals, permissions, and personal actions must retain original responsibility. How would you model the merge?
- A business rule is corrected retroactively. Reports need corrected results, while decision-makers also need the results available at the time. How would you manage both historical views?
- A producer adds an order status, and an old consumer rejects the whole message because enum validation is strict. Teams disagree over who must update, and consumers have different owners. How would you design compatibility and rollout order?
- Enterprise contracts specify first response, service restoration, and final resolution times, each with different pause conditions. Support tracks one SLA timer, causing disputes. How would you model this?
- Map the area you have owned over time: what users are trying to do, where the main process obstacles are, what your module can influence, and what is outside its control.
No questions in this section match your target. ·
C · Value judgment and direction setting4
- Visits and registrations are growing, but match success is falling. Demand concentrates in a few regions while suppliers are scattered. How would you find the liquidity bottleneck and choose where to invest first?
- A marketplace raises commission by two points. Revenue rises short term, but some high-quality suppliers list less often; buyer conversion has not moved yet. How would you assess long-term impact?
- After a subscription price increase, monthly revenue rises 8%, but cancellations grow among small core customers. Sales wants to continue. How would you estimate net benefit and long-term risk?
- Gross margin is steady, but standard-service revenue falls while custom-service revenue grows, along with implementation and support hours. How would you determine whether growth is healthy?
No questions in this section match your target. ·