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You get a short list of accepted two-word phrases and a batch of strings. Infer the rule that decides which strings belong together, implement it so the same input always yields the same partition, and say where the examples still underdetermine the answer. This independent, original scenario is designed for Software / Infrastructure, ML / Inference Systems preparation. Work through the stages in order, explain each decision, and use the review dimensions to test whether the result remains defensible when constraints change.
Describe the data structures and the single pass that produce the partition, with its time and space cost. Explain how the output stays stable when more than one phrase could match the same string.
Is the implementation concrete enough to reproduce, including how ties are broken?List the boundary inputs that would break a careless version: a repeated phrase, overlapping matches, case and spacing variation, and a phrase that matches nothing. State the correct output for each.
Do you locate the failure cases before an interviewer does?The interviewer says the examples were not exhaustive. Say which parts of your rule are still inferred, and which three inputs you would run to confirm or overturn them.
Can you distinguish verified behavior from assumption?Use these checks after a first draft. They are review prompts, not six more questions to answer.
Clarifies goals, constraints, and ambiguous requirements.
Protects invariants and handles boundary conditions.
Identifies realistic failures and designs recovery paths.
Makes ownership and transitions explicit.
Provides enough visibility to diagnose and run the system.
Explains what is gained, lost, and intentionally deferred.
Use a different system, project, or situation and check whether the structure still produces a specific, defensible answer.