Coding (Platform)

Android / Kotlin: Apply a sliding rate window for repository cache request stream

A state restoration path produces a user-visible duplicate after an interrupted session. The affected area is repository cache.

Repair the repository cache request stream implementation so it enforces a per-key sliding window and reports allowed and rejected requests.

Evidence

Affected surface: Android / Kotlin / repository cache.
Observed failure family: apply a sliding rate window.
Scope policy: region must equal eu-west.

What this task practices

This coding (platform) exercise trains the same sequence expected in an interview: understand the prompt, make assumptions explicit, produce a concrete answer, and explain the decisions behind it. The task is marked medium difficulty. The private workspace adds the tools required by this round, such as recording, code execution, diagrams, evidence panels, or structured notes. It also preserves the attempt so later feedback can be compared with previous work. Evaluation is based on task-specific criteria and the candidate seniority selected in the preparation path. Public pages never expose the reference solution, hidden tests, evaluator instructions, or another candidate’s work.