Sample questions

Question 1:

What’s true about Spark’s execution hierarchy?

1. In Spark’s execution hierarchy, a job may reach multiple stage boundaries.
2. In Spark’s execution hierarchy, manifests are one layer above jobs.
3. In Spark’s execution hierarchy, a stage comprises multiple jobs.
4. In Spark’s execution hierarchy, executors are the smallest unit.
5. In Spark’s execution hierarchy, tasks are one layer above slots.

Question 2:

What do executors do?

1. Executors host the Spark driver on a worker-node basis.
2. Executors are responsible for carrying out work that they get assigned by the driver.
3. After the start of the Spark application, executors are launched on a per-task basis.
4. Executors are located in slots inside worker nodes.
5. The executors’ storage is ephemeral and as such it defers the task of caching data directly to the worker node thread.

Answers

1. A
2. B
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