Microsoft Azure Solutions Architect Expert AZ-305 Practice Question
Your company needs to process tens of thousands of high-resolution images each night. Each image-processing task runs for several minutes inside a Docker container that is already stored in Azure Container Registry. Administrators want a fully managed service that can automatically provision virtually unlimited compute nodes, queue and distribute the jobs, and shut everything down when processing completes to minimize operational effort. Which Azure service should you recommend?
Azure Container Instances with a separate container group for each image job
Azure Kubernetes Service (AKS) using the Virtual Node add-on
Azure Logic Apps running the container inside an Integration Service Environment
Azure Batch with a pool configured to run the container image
Azure Batch is specifically designed for large-scale, parallel, or high-performance batch workloads. You can configure an auto pool or an autoscale formula so that compute nodes are created as jobs arrive and are automatically deallocated or the pool is deleted after all tasks finish, minimizing cost and operational overhead. The service can pull private container images directly from Azure Container Registry and handles queuing, retries, and task distribution for you. Azure Container Instances can start containers quickly but has no native large-scale scheduler. Although AKS with the Virtual Node add-on offloads the control plane to Azure, you must still manage cluster resources, security policies, and upgrades, which increases operational burden. Logic Apps focus on workflow and integration scenarios rather than compute-intensive, massively parallel processing. Therefore, Azure Batch best meets the requirements for nightly image processing.
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Microsoft Azure Solutions Architect Expert AZ-305
Design infrastructure solutions
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