Courseiva
Information ExtractionhardMultiple SelectObjective-mapped

AI-103 Information Extraction Practice Question

When composing multiple individual Custom Neural models into a single composed model in Azure AI Document Intelligence, which THREE behaviors or characteristics apply? Each correct selection represents a valid aspect.

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

All sub-models included in a composed model must share the same major API version.

Composed models route documents automatically to the correct underlying model, share a single endpoint, and require all component models to be built using the same major API version.

Answer analysis

Option-by-option breakdown

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

  • Composed models require a separate Azure resource endpoint for each individual sub-model.

    Why it's wrong here

    A single endpoint and model ID are used to invoke the composed model.

  • All sub-models included in a composed model must share the same major API version.

    Why this is correct

    Azure Document Intelligence requires component models in a composed model to be created with compatible API versions.

  • Composed models support an unlimited number of sub-models without any performance impact.

    Why it's wrong here

    There are service limits on the maximum number of sub-models that can be combined in a single composed model.

  • The composed model automatically classifies incoming documents and routes them to the appropriate sub-model.

    Why this is correct

    Composed models include built-in classification to route documents to the correct custom sub-model.

  • You can query the composed model using a single model ID, which simplifies client application code.

    Why this is correct

    Client applications call the single composed model ID rather than managing multiple distinct model IDs.

About these practice questions

This AI-103 question is part of Courseiva's 510-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. 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.