Learn the essential steps to secure Azure AI services by restricting access to specific virtual networks. Prepare confidently for the AI-102 certification exam with this expert guide on implementing robust security measures.
Table of Contents
Question
Your organization, Xerigon Inc., has developed a business-critical application that uses Azure AI service resources. To enhance security, you want to protect your Azure AI service accounts by restricting access to a specific subset of virtual networks.
What should you do first?
A. Configure private endpoints to protect your Azure AI service accounts.
B. Configure rules that grant access to traffic from specific virtual networks or subnets.
C. Configure a rule to deny access to traffic from all networks, including the Internet, by default.
D. Configure data loss prevention (DLP) to protect your Azure AI service accounts.
Answer
C. Configure a rule to deny access to traffic from all networks, including the Internet, by default.
Explanation
In the given scenario, you would first configure a rule to deny access to traffic from all networks, including the Internet, by default. This ensures that no unauthorized traffic can reach your resources and establishes a secure baseline, ensuring your resources are protected from unauthorized access by default.
Configuring rules that grant access to traffic from specific virtual networks or subnets is not the first step in the given scenario. This is an essential step, but it should follow the initial step of denying all traffic. This step ensures that only trusted networks can access Azure AI services after a secure baseline (deny all) has been established.
Configuring private endpoints to protect your Azure AI service accounts is not the first step in the given scenario. This is important to secure communications by ensuring that traffic between your virtual networks and Azure AI services remains within the Azure network. Private endpoints provide secure, private access to Azure services, preventing exposure to the public Internet.
Configuring data loss prevention (DLP) to protect your Azure AI service accounts is not the first step in the given scenario. DLP is a critical security measure to protect sensitive data from being exposed or exfiltrated. However, this does not address the initial need to secure network access to Azure AI services. Azure AI services offer DLP features that enable customers to specify a list of permitted outbound URLs for their resources. This provides an additional layer of security, helping to safeguard against data breaches. DLP helps in identifying, monitoring, and protecting sensitive data through deep content inspection and contextual analysis.
Microsoft Azure AI Engineer Associate AI-102 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Engineer Associate AI-102 exam and earn Microsoft Azure AI Engineer Associate AI-102 certification.