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Scenario: Pennyworth's Haberdashery, a well-established fashion retailer in Greater London, has recently acquired a clothier line in Madrid and is integrating its systems with Microsoft Azure. Project Details: Alfred Pennyworth, an avid birder, is dedicating company resources to monitoring bird health and migration. He has commissioned a multi-image classification deep learning model that utilizes a set of labeled bird photos collected by experts. The model will be used to develop a cross-platform mobile app that predicts the species of birds captured by users. The developer has been tasked with testing and deploying the trained model as a web service. Deployment Requirements: No authentication required for testing. Security is not a concern during testing. Low latency for inferencing. REST endpoints must be scalable to handle a large volume of requests from multiple users. Verify response format – Web service must return predictions in JSON upon valid REST requests. Available Compute Resources: ds-workstation notebook VM aks-compute cluster cpu-compute cluster gpu-compute cluster Question: Which compute resources should the developer use for the test environment and production environment?