Microsoft Azure Architect Design (AZ-301) Practice Exam

Creating a compute solution to calculate multiple 3D scenes effectively can benefit significantly from the Azure Batch service. Azure Batch is designed specifically to manage large scale parallel and high-performance computing jobs. This service simplifies the process of deploying and managing the render farm while providing tools to automate the scaling and management of resources.

Using Azure Batch allows you to submit a large number of rendering jobs, which are executed in parallel across multiple virtual machines. This is particularly useful for rendering tasks in graphics and 3D computations where performance and efficiency are critical. Azure Batch automatically handles the provisioning of the VMs required for the tasks, distributing workloads to efficiently utilize available compute resources, and scaling up or down based on demand.

While other options such as using VMs or VM scale sets could serve to create a render farm, they lack the integrated management and orchestration capabilities of Azure Batch. VMs would require manual configuration and management, and while VM scale sets offer auto-scaling, they still do not have the same level of job scheduling and workload management that Azure Batch provides.

Additionally, enabling parallel task execution on compute nodes is a good practice but fundamentally relies on the infrastructure being effectively managed and scaled, which is best achieved through Azure Batch when working with numerous 3D scenes