In a scenario with multiple engines, what happens when more jobs are submitted than available engines?

In a scenario with multiple engines, what happens when more jobs are submitted than available engines?

• A. All jobs start immediately
• B. Jobs are queued until an engine is free
• C. Extra engines automatically start
• D. Jobs fail

Answer: (B)

Resource management and job scheduling in a multi-engine environment: when more jobs are submitted than available engines, the system uses a queue to hold the extra jobs until an engine finishes and becomes free. Each engine can handle one job at a time, so once all engines are busy, incoming work waits in line and is picked up in order as engines complete tasks. This keeps resource use predictable and avoids overloading any engine. In many setups the queue operates in a first-in-first-out order, though some configurations can apply priorities or other policies. The idea that extra work would start automatically, that all work would fail, or that extra engines would magically appear would require different resource management approaches like auto-scaling or infinite capacity, which isn’t assumed in a fixed-engine scenario. For example, with three engines and five jobs, the first three start immediately, and the remaining two wait until an engine frees up, then begin processing in turn.

Resource management and job scheduling in a multi-engine environment: when more jobs are submitted than available engines, the system uses a queue to hold the extra jobs until an engine finishes and becomes free. Each engine can handle one job at a time, so once all engines are busy, incoming work waits in line and is picked up in order as engines complete tasks. This keeps resource use predictable and avoids overloading any engine. In many setups the queue operates in a first-in-first-out order, though some configurations can apply priorities or other policies. The idea that extra work would start automatically, that all work would fail, or that extra engines would magically appear would require different resource management approaches like auto-scaling or infinite capacity, which isn’t assumed in a fixed-engine scenario. For example, with three engines and five jobs, the first three start immediately, and the remaining two wait until an engine frees up, then begin processing in turn.