Service implementation job test

Opening your lesson

This original job-test simulation gives you a service team's small implementation queue. You have a fixed clock and eight independent contracts. Complete the straightforward boundaries first, then spend the remaining time on the stateful and asynchronous work.

The test mixes validation, injected dependency data, caching, logs, retries and event processing. It's not presented as an official certification exam or a reproduction of an employer's test. Supplied records replace external services, and all monetary values are fictional exercise units. The checker evaluates returned values and observable task completion. Keep output shapes exact, preserve request order and avoid catching failures outside the prompt's policy. You can revisit unfinished tasks while the clock remains, but each answer needs to stand on its own.

import json

def process_payload(payload: str) -> str:
    data = json.loads(payload)
    result = [row['id'] for row in data if type(row['quantity']) is int and row['quantity'] > 0]
    return json.dumps(result,separators=(',',':'))

Use an explicit integer contract; True and zero are not valid positive quantities. Check the quantity's exact type before comparing its value. In Python, bool inherits from int. One filter pass is linear in the number of records and does not coerce invalid values.

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