You architect a solution that calculates 3D geometry from height-map data.
You have the following requirements:
Perform calculations in Azure.

Each node must communicate data to every other node.

Maximize the number of nodes to calculate multiple scenes as fast as possible.

Require the least amount of effort to implement.

You need to recommend a solution.
Which two actions should you recommend? Each correct answer presents part of the solution.
Correct Answer: B,C
Explanation/Reference:
Explanation:
B: A common scenario for Batch involves scaling out intrinsically parallel work, such as the rendering of images for 3D scenes, on a pool of compute nodes. This pool of compute nodes can be your "render farm" that provides tens, hundreds, or even thousands of cores to your rendering job.
C: You configure compute nodes for parallel task execution at the pool level.
References:
https://docs.microsoft.com/en-us/azure/batch/batch-technical-overview
https://docs.microsoft.com/en-us/azure/batch/batch-parallel-node-tasks