A data engineer is running a batch processing job on a Spark cluster with the...

Comprehensive and Detailed Explanation From Exact Extract:

If each of the 10 nodes runs 4 executors, and each executor is assigned 4 CPU cores:

Executors per node = 4

Cores per executor = 4

Total executors = 4 * 10 = 40

Total cores = 40 executors * 4 cores = 160 cores

However, Spark uses 1 core for overhead on each node when managing multiple executors. Thus, the practical allocation is:

Total usable executors = 4 executors/node × 10 nodes = 40

Total cores = 4 cores × 40 executors = 160

Answer: A — but the question asks specifically about “CPU cores used by the application,” assuming all allocated cores are usable (as Spark typically runs executors without internal core reservation unless explicitly configured).

However, if you are considering 4 executors/node × 4 cores = 16 cores per node, across 10 nodes, that’s 160.

Final Answer: A