A parks department runs heavy MapReduce-style jobs only a few nights each month. Which cloud pattern best matches spinning capacity up for the job and releasing it afterward?
Select an answer to reveal the explanation.
Short Explanation
Why leave the carnival lights on all winter for a three-night fair? Ephemeral cloud clusters spin up for the MapReduce-style job and shut down when the work is done. Always-on peak-sized iron wastes budget between those nights.
Full Explanation
Elastic MapReduce-style and similar cloud patterns provision compute for a batch window and terminate afterward, matching intermittent municipal workloads. That ephemeral model avoids paying for peak capacity year-round. Permanent idle clusters and desktop-only GPUs miss the elasticity benefit. BDPC cloud awareness includes job-scoped cluster lifecycles as a standard pattern.