Mlops Infrastructure

Which Azure feature is used to define infrastructure as code for your Azure ML workspace?

Your team uses a custom Docker image for training. You need to update the image in the Azure Container Registry (ACR). What is the recommended workflow to ensure Azure ML picks up the latest version?

Which TWO of the following can be used to manage Azure ML assets like environments and models?

A training job is consuming too much disk space on a compute cluster. What can you do to provide more persistent scratch space?

In Azure ML, what is a 'Component'?

Which TWO of the following are benefits of using Azure ML Environments?

You need to ensure that a training script running on Azure ML has access to secrets (like API keys) without hardcoding them in the script. What should you use?

You need to attach an existing Azure Kubernetes Service (AKS) cluster to your Azure ML workspace for model inference. Which credential type is required to establish this connection?

You need to orchestrate a series of ML steps (Data prep, Training, Evaluation). Which Azure ML feature is specifically designed for this?

You are setting up an Azure Machine Learning workspace and need to ensure that the workspace is not accessible from the public internet. Which networking feature should you configure?

What is the purpose of the Azure ML 'Model Registry'?

What is the primary function of an Azure ML 'Datastore'?

Which TWO of the following storage types can be registered as an Azure ML Datastore?

Which THREE of the following are types of Azure ML endpoints?

You are experiencing latency issues with a model deployed on a Managed Online Endpoint. What is the first thing you should check?

Which TWO of the following are benefits of using the Azure ML CLI v2 for your MLOps pipelines?

You need to monitor the health of your deployed Azure ML models. Which service is integrated directly with Azure ML to provide automated metrics and logging?

You are using GitHub Actions. You want to authenticate to Azure without using hardcoded credentials. What should you use?

You want to track your model experiments and compare their performance metrics. Which Azure ML feature provides this capability?

When configuring a compute instance, which setting allows you to automatically stop the instance during periods of inactivity?

You want to automate the deployment of a model using GitHub Actions. Which file format is standard for defining the Azure ML CLI v2 deployment configuration?

Which THREE of the following are key components of a robust MLOps strategy in Azure?

You are creating a CI/CD pipeline in Azure DevOps. Which extension is essential to integrate Azure ML tasks into your build/release pipeline?

You are setting up an MLOps pipeline and need to ensure that only approved models are deployed. Which feature should you use?

A data scientist needs to access data in an Azure Data Lake Storage Gen2 account from Azure ML. You need to ensure the workspace uses the most secure method to access this data. What should you configure?

Which TWO of the following are required to secure an Azure ML workspace using a Private Link?

You are managing a multi-workspace environment. You need to restrict the ability to create new compute clusters to only specific users. Where should you apply this control?

You need to prevent data egress from your Azure ML environment. What configuration is required?

What is the primary benefit of using Azure ML compute clusters instead of compute instances for training?

You need to debug a training job that is failing inside a specific Docker container. What is the best way to investigate?

Which component in an Azure ML pipeline definition is responsible for specifying the runtime environment, including Python packages and Conda dependencies?

A pipeline step fails because it cannot find a file in the datastore. What is the most likely cause?

You are deploying a model as a real-time endpoint. You want to ensure the deployment can handle sudden spikes in traffic. Which scaling configuration should you enable?

Which THREE of the following are valid compute targets for Azure Machine Learning training?

Which THREE of the following represent lifecycle stages of an ML model in Azure ML?

Which THREE of the following are common reasons for a model deployment to fail on a Managed Online Endpoint?

Which THREE factors influence the cost of an Azure ML Compute Cluster?

Your Azure ML training job fails with an 'Out of Memory' error on a GPU cluster. You need to ensure the job runs successfully without modifying the model code. What should you do?