Exam AZ-305 topic 4 question 49 discussion

appeared in exam, 10/14/2022. I passed with 946/1000 and there were only 1~2 new questions but others were all from AZ-305 dump.

How it works 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 can be your "render farm" that provides tens, hundreds, or even thousands of cores to your rendering job. https://learn.microsoft.com/en-us/azure/batch/batch-technical-overview https://learn.microsoft.com/en-us/azure/batch/batch-parallel-node-tasks You configure compute nodes for parallel task execution at the pool level

D & E are correct

First Answer: D. Create a render farm that uses Azure Batch. Through the use of Azure Batch Service we create and manage a pool of HPC nodes, and schedule jobs to run on the VMs, which is ideal to run parallel high-performance applications. Second Answer: E. Enable parallel task execution on compute nodes. - In Azure Batch Service we can implement Message Parsing Interface (aka MPI) so each HPC node can quickly communicata data to each other in order to enable high-perfomance parallel jobs.

Given Answer DE is correct as per https://azure.microsoft.com/en-us/products/batch https://learn.microsoft.com/en-us/azure/batch/batch-technical-overview

If I'm not mistaken, Azure Batch and Azure Cyclecloud can be used to manage HPC. Which in turn can be used to create scalable nodes for calculation

The correct answers are D. Create a render farm that uses Azure Batch and E. Enable parallel task execution on compute nodes. Azure Batch is designed for high-performance parallel computing. It's a cloud-based job scheduling service that parallelizes the processing of large volumes of data across many virtual machines. It allows for each node to communicate data to every other node, which is a requirement in the question. Parallel task execution enables concurrent processing of multiple tasks on a single compute node, thereby maximizing the number of nodes to calculate multiple scenes as fast as possible. This can help to speed up processing times.

I passed exam today with 979, and this question was on the exam, I am confident the correct answer is DE

appeared in exam 02/15/2023

ChatGPT The two actions that should be included in the recommendation are: C. Create a render farm that uses virtual machine scale sets, which will enable the deployment and management of a large number of identical virtual machines, and allow for automatic scaling based on the workload. D. Create a render farm that uses Azure Batch, which provides a platform for running large-scale parallel and high-performance computing (HPC) batch jobs. It can also automatically scale the number of nodes based on the workload and provides easy integration with Azure storage. Therefore, the recommended solution would be to create a render farm that uses virtual machine scale sets and Azure Batch in Azure to perform the 3D geometry calculations. This solution will ensure that each node can communicate with every other node, maximize the number of nodes to calculate multiple scenes as fast as possible, and minimize the amount of effort to implement the solution.

D. Create a render farm that uses Azure Batch. E. Enable parallel task execution on compute nodes.

Appeared in 29/01/2023 exam. Passed with 903/1000

D and E - correct. Both Render A Farm & Parallel Task Execution are Batch features. https://docs.microsoft.com/en-us/azure/batch/batch-technical-overview