Microsoft
DP-100 · Question #303
You use the Azure Machine Learning designer to create and run a training pipeline. The pipeline must be run every night to inference predictions from a large volume of files. The folder where the file
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Train and deploy models
Question
You use the Azure Machine Learning designer to create and run a training pipeline. The pipeline must be run every night to inference predictions from a large volume of files. The folder where the files will be stored is defined as a dataset. You need to publish the pipeline as a REST service that can be used for the nightly inferencing run. What should you do?
Options
- ACreate a batch inference pipeline
- BSet the compute target for the pipeline to an inference cluster
- CCreate a real-time inference pipeline
- DClone the pipeline
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Topics
#Batch Inferencing#Azure Machine Learning Designer#Model Deployment#REST Endpoints