- A
Create an Azure DevOps pipeline that manually retrains the model every month
Why wrong: Manual intervention is required, not minimal.
- B
Retrain the model manually using Language Studio each month
Why wrong: Manual retraining is not minimal intervention.
- C
Use the Azure AI Language REST API to trigger training and deployment on a schedule using Azure Logic Apps
Logic Apps can call the Language API on a schedule to automate retraining.
- D
Use Azure Machine Learning to host the custom model and automate retraining
Why wrong: Azure Machine Learning is not necessary; Azure AI Language provides built-in automation.
AI-102 Plan and manage an Azure AI solution Practice Question
This AI-102 practice question tests your understanding of plan and manage an azure ai solution. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are deploying a custom text classification model using Azure AI Language. The model must be retrained monthly with new labeled data. You need to automate the retraining process with minimal manual intervention. Which approach should you use?
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
Use the Azure AI Language REST API to trigger training and deployment on a schedule using Azure Logic Apps
Option C is correct because Azure Logic Apps can schedule HTTP requests to the Azure AI Language REST API to trigger training and deployment of a custom text classification model. This approach automates the monthly retraining process without manual intervention, using the API's capabilities for model creation, training, and deployment.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create an Azure DevOps pipeline that manually retrains the model every month
Why it's wrong here
Manual intervention is required, not minimal.
- ✗
Retrain the model manually using Language Studio each month
Why it's wrong here
Manual retraining is not minimal intervention.
- ✓
Use the Azure AI Language REST API to trigger training and deployment on a schedule using Azure Logic Apps
Why this is correct
Logic Apps can call the Language API on a schedule to automate retraining.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Azure Machine Learning to host the custom model and automate retraining
Why it's wrong here
Azure Machine Learning is not necessary; Azure AI Language provides built-in automation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Azure Machine Learning with Azure AI Language, thinking that Azure Machine Learning is the appropriate service for hosting and retraining custom text classification models, when in fact Azure AI Language provides its own REST API for this purpose and is the correct service for custom text classification.
Detailed technical explanation
How to think about this question
The Azure AI Language REST API provides endpoints like `/training` and `/deployment` that can be called to initiate model training and deployment. Azure Logic Apps can use a recurrence trigger (e.g., monthly) to invoke these API calls, passing the necessary parameters such as project name and training dataset URL. This approach ensures that the model is retrained with the latest labeled data without human intervention, leveraging Azure's serverless orchestration capabilities.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AI-102 question test?
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the Azure AI Language REST API to trigger training and deployment on a schedule using Azure Logic Apps — Option C is correct because Azure Logic Apps can schedule HTTP requests to the Azure AI Language REST API to trigger training and deployment of a custom text classification model. This approach automates the monthly retraining process without manual intervention, using the API's capabilities for model creation, training, and deployment.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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