Databricks Certified Machine Learning Professional — Question 42

Which of the following machine learning model deployment paradigms is the most common for machine learning projects?

Answer options

Correct answer: D

Explanation

The Batch deployment paradigm is the most common in machine learning projects as it allows for processing large amounts of data at once, typically scheduled at specific times. On-device, Streaming, and Real-time deployments are less common due to their specific use cases and requirements, while 'None of these deployments' is incorrect as Batch is a valid option.