| Exam Name: | Operationalizing Machine Learning and Generative AI Solutions | ||
| Exam Code: | AI-300 Dumps | ||
| Vendor: | Microsoft | Certification: | Microsoft Certified: Machine Learning Operations (MLOps) Engineer |
| Questions: | 187 Q&A's | Shared By: | luna-rose |
You create an Azure Machine learning workspace. The workspace contains a folder named src. The folder contains a Python script named script 1 .py.
You use the Azure Machine Learning Python SDK v2 to create a control script. You must use the control script to run script l.py as part of a training job.
You need to complete the section of script that defines the job parameters.
How should you complete the script? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You use Azure Machine Learning to tram a model.
You must use Baylean sampling to Tune hyperparaters.
You need to select a learning_rate parameter distribution.
Which two distributions can you use? Each correct answer presents a complete solution.
NOTE Each correct selection is worth one point.
You have an Azure Machine Learning workspace named Workspace 1 Workspace! has a registered Mlflow model named model 1 with PyFunc flavor
You plan to deploy model1 to an online endpoint named endpoint1 without egress connectivity by using Azure Machine learning Python SDK vl
You have the following code:

You need to add a parameter to the ManagedOnllneDeployment object to ensure the model deploys successfully
Solution: Add the scoring_script parameter.
Does the solution meet the goal?
You train and publish a machine teaming model.
You need to run a pipeline that retrains the model based on a trigger from an external system.
What should you configure?