Sample questions
Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300) (AI-300) practice questions
You need to implement a retraining trigger based on performance degradation. Which TWO metrics should you monitor to decide when to retrain?
You want to enforce a policy that all models must be registered before being deployed. Which feature should you use to implement this constraint?
You are optimizing your Azure ML pipeline performance. Which THREE steps should you take to reduce execution time?
You need to monitor the data drift of a model deployed in Azure ML. What is the first step you must take?
You are managing model versioning in Azure Machine Learning Registry. You need to promote a model from 'Staging' to 'Production' without creating a new asset version. Which command…
Your team needs to share a model across different workspaces. What is the most efficient way to achieve this in Azure Machine Learning?
What is the purpose of a 'Datastore' in Azure Machine Learning?
You are configuring a 'Managed Online Endpoint' for a very large model (10GB+). The deployment is failing during the 'pulling image' phase. What is the most likely cause?
You are troubleshooting a model deployment failure where the container fails to start due to missing environment variables. Where do you find the logs to identify the cause?
You are running a distributed training job using the 'PyTorch' framework on Azure Machine Learning. You need to configure the 'DistributionConfiguration'. Which setting is mandator…
Which THREE metrics can be logged during training to track performance in Azure ML?
What is the primary purpose of a 'Labeling Project' in Azure Machine Learning?
You want to perform hyperparameter tuning using the 'HyperDrive' service. You have a requirement to stop poor-performing runs early to save compute costs. Which policy should you u…
What is the benefit of using 'Model Catalog' in Azure AI Foundry?
To optimize the cost of your AI infrastructure, which THREE actions should you consider?
What is the purpose of a 'System-Assigned Managed Identity' in the context of an Azure AI project?
Which THREE items should you keep track of in your AI Foundry project to ensure good governance?
You are moving a model from a local environment to Azure Machine Learning. Which file is required to define the entry script for the model inference?
Which TWO methods are best for debugging an LLM pipeline that fails on complex queries?
You are troubleshooting a failed agent deployment. Which TWO areas should you inspect first?
A pipeline step fails because it cannot find a file in the datastore. What is the most likely cause?
Which TWO of the following can be used to manage Azure ML assets like environments and models?
You need to audit all model access logs across your organization. What is the most effective approach?
Which THREE of the following are components of an Azure AI Foundry project?