Generate Random Regional Records
Company: Icapital
Role: Software Engineer
Category: Software Engineering Fundamentals
Difficulty: medium
Interview Round: Technical Screen
# Generate Random Regional Records
Design and explain code for three related tasks: generate `N` random integers; generate `N` random integers within a requested range from `x` through `y`; and create `N` records containing a generated number plus a random region chosen from `US_EAST`, `US_WEST`, and `EU_WEST`.
### Constraints & Assumptions
- Clarify the domain of the first unbounded request before implementing it.
- State whether range endpoints are inclusive and whether uniform sampling is required.
- The original task does not supply a seed, so exact generated values are not prescribed.
### Clarifying Questions to Ask
- Which random-number generator and reproducibility requirements apply?
- Can `x` exceed `y`, and how should invalid `N` or ranges be handled?
- Are the three regions equally likely?
```hint Inject the source of randomness
Separating random generation from record construction makes deterministic tests possible without changing production behavior.
```
### What a Strong Answer Covers
- A precise random domain and inclusive-range calculation.
- Uniformity and avoidance of modulo bias where relevant.
- A small record type with clear construction and output behavior.
- Seeded or fake-generator tests for bounds, count, and region selection.
### Follow-up Questions
- How would you make generation cryptographically secure?
- How would you generate weighted, rather than uniform, regions?
Overview: Implement generation of N random integers, extend it to an inclusive numeric range, then create and print N objects whose number and one of three region labels are selected randomly.