The Container of the Spark task can run multiple tasks.

Question

Options

• ATrue
• BFalse

• A
  15% (4)
• B
  85% (23)

Explanation

In Apache Spark's execution model, a Container is a resource allocation unit (CPU + memory) provided by the cluster manager (e.g., YARN or Kubernetes) that hosts exactly one task at a time - not multiple. The Executor is the entity that manages concurrency: it receives multiple tasks from the Driver and runs them across allocated slots, but each Container corresponds to a single task-level resource unit. Option A is wrong because it conflates the Executor's multi-task capability with the Container, which is a lower-level, single-task resource boundary. The distinction matters: it is the Executor (not the Container) that can execute multiple tasks concurrently, one per core.

Memory tip: Think of a Container as a parking space - it holds exactly one car (task) at a time. The parking lot (Executor) can hold many cars across many spaces.

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