PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #199
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #199: Real Exam Question with Answer & Explanation
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Question
You work at a bank. You have a custom tabular ML model that was provided by the bank's vendor. The training data is not available due to its sensitivity. The model is packaged as a Vertex AI Model serving container, which accepts a string as input for each prediction instance. In each string, the feature values are separated by commas. You want to deploy this model to production for online predictions and monitor the feature distribution over time with minimal effort. What should you do?
Options
- A1. Upload the model to Vertex AI Model Registry, and deploy the model to a Vertex AI endpoint
- B1. Upload the model to Vertex AI Model Registry, and deploy the model to a Vertex AI endpoint
- C1. Refactor the serving container to accept key-value pairs as input format
- D1. Refactor the serving container to accept key-value pairs as input format
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