Courseiva
Information ExtractionmediumMultiple SelectObjective-mapped

AI-103 Information Extraction Practice Question

Which THREE roles or permissions are typically required to successfully create, train, and manage custom models in Azure AI Document Intelligence Studio? (Choose THREE)

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Cognitive Services User to invoke model prediction APIs

Managing Document Intelligence resources requires appropriate Azure RBAC roles such as Cognitive Services Contributor, Cognitive Services User, and Blob Storage access.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Global Administrator on the Microsoft Entra ID tenant

    Why it's wrong here

    Global Administrator is an overly broad directory role not required for routine Document Intelligence tasks.

  • Cognitive Services User to invoke model prediction APIs

    Why this is correct

    This role permits calling analyze and prediction endpoints.

  • Storage Blob Data Contributor on the Azure Storage account holding training datasets

    Why this is correct

    This role is required to read and write training data containers.

  • Network Contributor on the subscription virtual network

    Why it's wrong here

    Network Contributor is unnecessary unless configuring specific private endpoints.

  • Cognitive Services Contributor on the Azure AI Document Intelligence resource

    Why this is correct

    This role allows managing the Document Intelligence resource and its models.

Quick reference

Access Control Model Comparison

ModelAcronymWho Controls Access?Best For
Discretionary Access ControlDACResource ownerSmall teams, file shares
Mandatory Access ControlMACSystem / security labelsClassified govt / military
Role-Based Access ControlRBACAdministrator (via roles)Enterprise environments
Attribute-Based Access ControlABACPolicy engine (user + resource attributes)Fine-grained, dynamic policies
Rule-Based Access ControlRuBACSystem rules / ACLsFirewall rules, network ACLs

About these practice questions

One of 510 original AI-103 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Microsoft exam blueprint

This AI-103 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-103 exam.