Review a broad software engineering interview loop covering object-oriented delivery APIs, rule engines, article voting systems, and a news aggregator design. The prompt helps candidates practice domain modeling, extensible rule abstractions, data structures, and high-level system design trade-offs.
You are given several object-oriented coding and design prompts from an onsite loop: a food delivery payment system with methods such as `RecordDelivery`, `PayUpto`, and `AddDelivery`; a rule evaluation engine for expenses with extensible business rules; an article management system with voting and last-flipped-article queries; and a high-level news aggregator similar to Google News. Explain how you would approach these prompts in an interview.
<details>
<summary>Hint 1</summary>
Start by naming the core entities, constraints, and success criteria.
</details>
<details>
<summary>Hint 2</summary>
Make the trade-offs explicit before going deep on implementation details.
</details>
### Constraints & Assumptions
- The focus is clean class design, efficient data structures, and extensibility.
- You do not need to write every method, but you should define core APIs and invariants.
- The news aggregator part is higher-level system design.
- Use the prompt details only; do not assume a full production company stack.
### Clarifying Questions to Ask
- What exact method signatures are required?
- What does `PayUpto` mean in the payment domain?
- How many rules and expenses should the engine support?
- What does flipped mean for articles?
- Is the news aggregator optimized for freshness, personalization, or publisher coverage?
### What a Strong Answer Covers
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### Follow-up Questions
- How would you add a new expense rule without changing existing rule code?
- How would you make article vote updates efficient?
- How would the news aggregator handle duplicate stories?
- What would you simplify under a 60-minute coding limit?
Quick Answer: Review a broad software engineering interview loop covering object-oriented delivery APIs, rule engines, article voting systems, and a news aggregator design. The prompt helps candidates practice domain modeling, extensible rule abstractions, data structures, and high-level system design trade-offs.
You are given several object-oriented coding and design prompts from an onsite loop: a food delivery payment system with methods such as RecordDelivery, PayUpto, and AddDelivery; a rule evaluation engine for expenses with extensible business rules; an article management system with voting and last-flipped-article queries; and a high-level news aggregator similar to Google News. Explain how you would approach these prompts in an interview.
<details>
<summary>Hint 1</summary>
Start by naming the core entities, constraints, and success criteria.
</details>
<details>
<summary>Hint 2</summary>
Make the trade-offs explicit before going deep on implementation details.
</details>
Constraints & Assumptions
The focus is clean class design, efficient data structures, and extensibility.
You do not need to write every method, but you should define core APIs and invariants.
The news aggregator part is higher-level system design.
Use the prompt details only; do not assume a full production company stack.
Clarifying Questions to Ask
What exact method signatures are required?
What does
PayUpto
mean in the payment domain?
How many rules and expenses should the engine support?
What does flipped mean for articles?
Is the news aggregator optimized for freshness, personalization, or publisher coverage?
What a Strong Answer Covers Premium
Follow-up Questions
How would you add a new expense rule without changing existing rule code?
How would you make article vote updates efficient?
How would the news aggregator handle duplicate stories?
What would you simplify under a 60-minute coding limit?