Observability and Resilience Checkpoint

Trace fresh cases, diagnose plausible bugs, and separate the exercise model from production guarantees.

Get every question correct to pass this checkpoint. You can review feedback, revise your answers, and submit again.

1. At a 99% target, one minute has 9 good requests and another has 1 bad request. What is the overall burn rate? Enter one integer.

2. Capacity 4, initial queue 3, one tick with arrivals 4 and service 4. How many requests are dropped? Enter one integer.

3. Capacity 3/refill 1, requests (time 0,cost 2), (time 0,cost 2), (time 1,cost 2). Which request indices are allowed? Select one answer.

Select one answer.

0 only 0 and 2 All three 1 and 2

4. Start 0, baseDelay 4, maxDelay 6, outcomes false,false,true. At what timestamp is the successful attempt? Enter one integer.

5. The breaker opens at time 3 with resetTimeout 7. The event at 10 fails. What decision is emitted? Select one answer.

Select one answer.

Allowed=false, Probe=false, State=open Allowed=true, Probe=true, State=half-open Allowed=true, Probe=true, State=open Allowed=true, Probe=false, State=closed

6. An open breaker rejects a request before cooldown. The supplied event has Success=true. What changes? Select one answer.

Select one answer.

The breaker closes Consecutive failures reset and the next call is allowed The event becomes an early probe No recovery state; the supplied outcome is ignored

7. Three nested layers each allow four total attempts and failures propagate through every layer. What is the maximum number of deepest-layer attempts? Enter one integer.

8. A queue admits 60 requests/tick and processes 40 indefinitely. What does increasing its finite capacity accomplish? Select one answer.

Select one answer.

It postpones shedding while increasing possible waiting time It eliminates the sustained20-request/tick deficit It guarantees a better p99 It makes retries free

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