Designing and Implementing a Data Science Solution on Azure — Question 17

You use Azure Machine Learning designer to create a real-time service endpoint. You have a single Azure Machine Learning service compute resource.
You train the model and prepare the real-time pipeline for deployment.
You need to publish the inference pipeline as a web service.
Which compute type should you use?

Answer options

• A. a new Machine Learning Compute resource
• B. Azure Kubernetes Services
• C. HDInsight
• D. the existing Machine Learning Compute resource
• E. Azure Databricks

Correct answer: B

Explanation

The correct answer is B, Azure Kubernetes Services, as it is designed to support scalable deployment of machine learning models as web services. The other options, such as Machine Learning Compute and Azure Databricks, do not provide the same level of orchestration and scalability needed for real-time inference at scale.