The correct options are Create an Azure Container Registry and push your Docker images there, Deploy the application to Azure Kubernetes Service for orchestration and cluster management, and Enable autoscaling and configure scaling rules in Azure Container Apps.

Create an Azure Container Registry and push your Docker images there is required because a private registry stores the built images so deployment targets can pull them reliably and securely. Using a registry also allows integration with CI and CD pipelines and access control through Azure RBAC.

Deploy the application to Azure Kubernetes Service for orchestration and cluster management is correct when you need advanced orchestration features such as rolling updates, service discovery, persistent volumes, and fine grained control over pods and nodes. AKS provides the cluster management and Kubernetes APIs that production grade container workloads typically require.

Enable autoscaling and configure scaling rules in Azure Container Apps is correct for platform managed container scaling when you want a simpler serverless container model that supports automatic scaling based on HTTP traffic, CPU or custom metrics through KEDA. Container Apps gives a managed way to define scaling rules without operating the underlying cluster.

Use Azure Container Instances for quick single container deployments is incorrect because Azure Container Instances are intended for simple or short lived single container scenarios and they do not provide the same orchestration, replica management, or advanced autoscaling controls that AKS or Container Apps offer.

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