Learn the vocabulary of doubling the retry delay after every failure instead of retrying immediately or at a fixed interval.
0 / 5 completed
1 / 5
A teammate explains that a client retrying a failed request waits progressively longer between each attempt, doubling the delay after every failure up to a capped maximum, instead of retrying immediately or at a fixed interval every time. What retry strategy is being described?
Exponential backoff is exactly this: after each failed attempt, the client doubles the delay before the next retry, up to some capped maximum, rather than retrying immediately or waiting a fixed interval every time, so a struggling downstream service faces rapidly decreasing retry pressure instead of a constant hammering rate. A DNS zone transfer is an unrelated concept about replicating name server records. This double-the-delay-after-each-failure approach is exactly why exponential backoff is the standard retry strategy for clients calling a potentially overloaded or recovering service.
2 / 5
During a design review, the team adopts exponential backoff for clients retrying calls to a service that is recovering from an outage, specifically so retry traffic drops off rapidly instead of continuing to hammer the recovering service at a constant rate. Which capability does this provide?
Exponential backoff here provides rapidly decreasing retry pressure on a recovering service, since each successive failure doubles the wait time instead of retrying at the same constant interval, giving the recovering service progressively more breathing room. Retrying immediately after every failure with no delay at all would keep hammering the recovering service at full force, potentially preventing it from ever stabilizing. This double-the-delay-after-each-failure behavior is exactly why exponential backoff is favored for clients retrying against a struggling or recovering service.
3 / 5
In a code review, a dev notices a client retries a failed request immediately, with zero delay, every single time it fails, instead of increasing the delay between attempts as exponential backoff would require. What does this represent?
This is a missed exponential-backoff opportunity, since increasing the delay after each failure would reduce pressure on a struggling downstream service instead of retrying immediately every time. A cache eviction policy is an unrelated concept about discarded cache entries. This zero-delay-retry-every-time pattern is exactly the kind of pile-on risk a reviewer flags once a downstream dependency can become overloaded or is recovering from an outage.
4 / 5
An incident report shows a recovering service was knocked back into failure repeatedly because thousands of clients retried failed requests immediately with zero delay every time, preventing the service from ever stabilizing under the constant retry pressure. What practice would prevent this?
Adopting exponential backoff lets each client double its retry delay after every failure, so retry pressure on the recovering service drops off rapidly instead of staying constant. Continuing to let every client retry immediately with zero delay regardless of how many times that knocks the recovering service back into failure is exactly what caused the incident described here. This double-the-delay approach is the standard fix once immediate zero-delay retries are confirmed to prevent a struggling service from recovering.
5 / 5
During a PR review, a teammate asks why the team reaches for exponential backoff instead of a fixed retry delay, such as always waiting exactly one second between attempts, given that a fixed delay is simpler to reason about. What is the reasoning?
Exponential backoff trades a slightly less predictable per-retry wait time for rapidly falling retry pressure the longer a service stays down, while a fixed delay is simpler but keeps hammering a persistently failing service at the same constant rate indefinitely. This is exactly why exponential backoff is favored for retries against a service that might be overloaded or recovering, while a fixed delay remains acceptable only for very short-lived, rare failures where sustained retry pressure is not a concern.
What does the "Exponential Backoff Vocabulary" vocabulary exercise cover?
This exercise tests real IT vocabulary related to exponential backoff vocabulary through 5 multiple-choice questions, each built from realistic workplace sentences rather than abstract definitions.
Is this vocabulary exercise free to use?
Yes. Every exercise on CoderSlingo, including this one, is completely free — no account, sign-up, or payment required.
How many questions does this exercise have?
This exercise has 5 questions. Each one shows a real-world sentence or scenario with multiple-choice options and an explanation once you answer.
What happens after I answer a question?
You'll see immediate feedback showing whether your answer was correct, along with a short explanation of why — then a button to move to the next question, and a full results screen at the end.
Can I retry the exercise if I get questions wrong?
Yes. Once you reach the results screen, click "Try again" to reset your answers and go through the exercise from the start as many times as you like.
Do I need to create an account to take this exercise?
No account is needed. Your answers are scored in your browser during the session — nothing is saved to a server, so you can jump straight in.
Is my progress saved if I leave the page?
No — progress within an exercise resets if you navigate away or reload. Each exercise is short enough to complete in a few minutes in one sitting.
Are these vocabulary exercises connected to other topics?
Yes — this module shares real-world context with 11 other vocabulary modules. See "Related vocabulary" below to keep building a connected skill set.
How is this different from reading a glossary or blog article?
Exercises like this one are active recall drills — you have to choose the correct term or phrasing yourself, which builds retention faster than passively reading a definition.
Where can I find more vocabulary exercises?
Browse the full Vocabulary exercises hub for hundreds of modules covering Agile, DevOps, security, databases, architecture, and more — organised by IT role and skill.