Drag and Drop Question You plan to deploy an Azure Machine Learning model as a service that will be used by client applications. Which three processes should you perform in sequence before you…

The correct answer is data preparation; model training; model evaluation. Before deploying an Azure Machine Learning model as a service, you must first prepare your data (data preparation) to ensure it is clean and formatted correctly, then train the model (model training) using that prepared data to build the predictive algorithm, and finally…

Submitted by fernanda_arg· Mar 30, 2026Implement and manage machine learning solutions - specifically understanding the end-to-end machine learning workflow including data preparation, model training, evaluation, and deployment in Azure Machine Learning (AI-102 / DP-100 certification objective).

Question

Drag and Drop Question You plan to deploy an Azure Machine Learning model as a service that will be used by client applications. Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order. Answer:

Exhibit

Answer Area

Drag items

data encryptionmodel retrainingmodel trainingdata preparationmodel evaluation

Correct arrangement

data preparation
model training
model evaluation

Explanation

Before deploying an Azure Machine Learning model as a service, you must first prepare your data (data preparation) to ensure it is clean and formatted correctly, then train the model (model training) using that prepared data to build the predictive algorithm, and finally evaluate the model (model evaluation) to assess its performance and ensure it meets accuracy thresholds before it is exposed to client applications. This sequence represents the core ML lifecycle steps that must occur prior to deployment.

Topics

#Azure Machine Learning#ML Model Lifecycle#Model Deployment#Data Preparation

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