Concept: Before training models, it’s crucial to secure your Azure Machine Learning network against external threats. An unsecured network could expose data and models to malicious actors, leading to data theft or manipulations that negatively impact model behaviour. Security Implementation: To enhance security, you need to connect your workspace via a private endpoint (private IP), which can be achieved using: Azure Machine Learning Python SDK Azure CLI Networking tab in the Azure portal Once connected, you can restrict access to your workspace, ensuring that interactions occur only over private IP addresses. Integration: Azure allows services to be integrated into a virtual network, providing private access from virtual machines or compute resources within the network. Question: Which of the following options can be used to integrate Azure services into your virtual network? (Select two.)