Learn how to resolve identity passing issues in Azure AI solutions by integrating components with Azure Active Directory (Azure AD). Enhance security and streamline authentication with this essential guide for Microsoft Azure AI Solutions certification.
Table of Contents
Question
Your Azure AI Solution cannot pass identity from one component to another. How would you resolve this issue?
A. Integrate each component with on-premises Active Directory.
B. Integrate each component with GitHub.
C. Integrate each component with Azure Active Directory.
D. Integrate each component with Azure DevOps.
Answer
C. Integrate each component with Azure Active Directory.
Explanation
When your Azure AI solution cannot pass identity from one component to another, the best way to resolve this issue is to integrate each component with Azure Active Directory (Azure AD). This is the correct approach because Azure AD provides a centralized identity management system that supports seamless authentication and secure access across all integrated components.
Why Choose Azure Active Directory (Option C)?
- Centralized Identity Management: Azure AD acts as a single identity platform for managing user access to cloud-based and on-premises applications, ensuring consistency and security.
- Seamless Integration: It supports OAuth, OpenID Connect, and other modern authentication protocols, enabling smooth identity transitions between components.
- Enhanced Security: By leveraging features like role-based access control (RBAC), conditional access policies, and multifactor authentication, Azure AD ensures secure communication between components.
- Managed Identities: Azure AD allows managed identities for resources, eliminating the need for hardcoding credentials in applications.
Why Not Other Options?
Option A (On-Premises Active Directory): While on-premises Active Directory is useful for legacy systems, it lacks the cloud-native capabilities and scalability of Azure AD, making it unsuitable for modern AI solutions.
Option B (GitHub): GitHub is a version control system and does not provide identity management features required for secure component integration.
Option D (Azure DevOps): Azure DevOps is a development lifecycle tool and not designed for managing identity or authentication between solution components.
By integrating your solution with Azure Active Directory, you ensure robust identity management, secure access, and seamless functionality across all components of your Azure AI solution.
Designing Microsoft Azure AI Solutions skill assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Designing Microsoft Azure AI Solutions exam and earn Designing Microsoft Azure AI Solutions certification.