ai-200 Practice Question 1998
Exam: ai-200
Domain: Deploy and manage models
Topic: Deploy a model as an endpoint
Difficulty: medium
Your organization wants to deploy a machine learning model that will process data in batches rather than continuously. Which type of endpoint should you choose in Azure Machine Learning, and what additional configuration might be necessary?
Answer Options
A
Choose an online endpoint and configure it to process data continuously.
B
Choose a batch endpoint and configure it to process data in batches.
C
Select a web app and deploy the model there, configuring it to handle batch requests.
D
Deploy the model as a function app and set up triggers for batch processing.
Correct Answer
B: Choose a batch endpoint and configure it to process data in batches.
Explanation
Batch endpoints in Azure Machine Learning are designed to handle data processing in batches, which means the model is invoked only when new data is available. You would select a batch endpoint for this scenario. Additional configuration might include setting up the scoring script to handle batch requests and configuring the endpoint to trigger on new data. Option B is correct because it correctly identifies the batch endpoint as the appropriate choice for processing data in batches. Options A, C, and D are incorrect as they do not align with the requirements for batch processing.