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AI-102 Practice Question: Implement natural language processing solutions

Drag and drop the steps to deploy a custom language model using Azure AI Language 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: Have labeled data ready, Step 2: Create the Azure AI Language resource, Step 3: Train the custom language model, Step 4: Evaluate the model performance, Step 5: Deploy the model to an endpoint

First, have labeled data ready, then create the resource, train the model, evaluate, and deploy.

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: Have labeled data ready, Step 2: Create the Azure AI Language resource, Step 3: Train the custom language model, Step 4: Evaluate the model performance, Step 5: Deploy the model to an endpoint

    Why this is correct

    This is the correct order because you need data before creating the resource, then train, evaluate, and finally deploy.

  • Step 1: Create the Azure AI Language resource, Step 2: Have labeled data ready, Step 3: Train the custom language model, Step 4: Evaluate the model performance, Step 5: Deploy the model to an endpoint

    Why it's wrong here

    This is incorrect because you should have labeled data ready before creating the resource to ensure the resource is configured appropriately for your data.

  • Step 1: Have labeled data ready, Step 2: Create the Azure AI Language resource, Step 3: Evaluate the model performance, Step 4: Train the custom language model, Step 5: Deploy the model to an endpoint

    Why it's wrong here

    This is incorrect because you cannot evaluate a model before training it; evaluation must follow training.

  • Step 1: Have labeled data ready, Step 2: Create the Azure AI Language resource, Step 3: Train the custom language model, Step 4: Deploy the model to an endpoint, Step 5: Evaluate the model performance

    Why it's wrong here

    This is incorrect because you must evaluate the model before deploying it to ensure it meets performance requirements.

About these practice questions

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JA

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.