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AI-102 Practice Question: Drag and drop the steps to configure an Azure AI…

Drag and drop the steps to configure an Azure AI Vision custom image classification model into the correct order.

Drag steps to the numbered slots on the right, or tap a step then tap a slot.

Steps
Order
1Step 1
2Step 2
3Step 3
4Step 4
5Step 5

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

Step 1: Prepare labeled images, Step 2: Create Azure AI Vision resource, Step 3: Train model, Step 4: Evaluate model, Step 5: Publish model

The correct sequence is to start with labeled images, then create the Azure AI Vision resource, train the model, evaluate its performance, and finally publish it. This ensures that all prerequisites are met and the model is validated before deployment.

Answer analysis

Option-by-option breakdown

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

  • Step 1: Prepare labeled images, Step 2: Create Azure AI Vision resource, Step 3: Train model, Step 4: Evaluate model, Step 5: Publish model

    Why this is correct

    This is the correct order because you need labeled images first to train, then a resource to host the model, followed by training, evaluation to ensure quality, and finally publishing for use.

  • Step 1: Create Azure AI Vision resource, Step 2: Prepare labeled images, Step 3: Train model, Step 4: Evaluate model, Step 5: Publish model

    Why it's wrong here

    This is incorrect because you must have labeled images before creating the resource, as the resource is used to train and host the model; creating it first is premature and may lead to configuration issues.

  • Step 1: Prepare labeled images, Step 2: Train model, Step 3: Evaluate model, Step 4: Create Azure AI Vision resource, Step 5: Publish model

    Why it's wrong here

    This is incorrect because you need an Azure AI Vision resource before training or evaluating; training and evaluation use the resource's endpoints and services.

  • Step 1: Prepare labeled images, Step 2: Train model, Step 3: Create Azure AI Vision resource, Step 4: Evaluate model, Step 5: Publish model

    Why it's wrong here

    This is incorrect because training a model requires a resource to be created first; you cannot train without a resource to host the training process.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI-102 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-102 exam.