AI-900: Azure ML Designer Preparing Classification Model for Service Deployment

Discover essential steps for preparing and deploying a classification model as a service using Azure ML Designer. Ensure seamless deployment for efficient model utilization!

Question

You use Azure Machine Learning designer to create a training pipeline for a classification model. What must you do before deploying the model as a service?

Answer

Create an inference pipeline from the training pipeline

Explanation

Before deploying a classification model created using Azure Machine Learning designer as a service, ensure these steps:

1. Model Evaluation: Validate model performance on test data for accuracy.
2. Save Model: Save the trained model and required assets.
3. Create Deployment Configuration: Configure service deployment settings like compute targets and authentication.
4. Deployment Validation: Test the deployed service for functionality and accuracy.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.