Discover the role of authorization in Azure AI solutions, focusing on how it determines user permissions. Essential knowledge for passing the Designing Microsoft Azure AI Solutions certification exam.
Table of Contents
Question
What is authorization in an Azure AI Solution?
A. It checks the credentials of the user.
B. It identifies the user to the solution.
C. It determines what the user is allowed to do within the solution.
D. It allows users to log into the solution.
Answer
C. It determines what the user is allowed to do within the solution.
Explanation
Authorization in an Azure AI solution refers to the process of defining and enforcing what actions a user or system can perform within the solution. It is a critical component of Identity and Access Management (IAM) and ensures that users have appropriate permissions based on their roles and responsibilities. This is distinct from authentication, which verifies a user’s identity.
In Azure, Role-Based Access Control (RBAC) is commonly used to manage authorization. RBAC assigns roles to users, groups, or applications, granting them specific permissions to access resources such as compute instances, storage accounts, or AI models. For example:
- A “Contributor” role might allow creating and managing AI resources.
- A “Reader” role might only allow viewing resources without making changes.
This ensures that users can only perform actions they are authorized for, adhering to the principle of least privilege and enhancing security.
By understanding this concept, you can better design secure AI solutions on Azure and confidently answer certification questions on this topic.
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.