PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #347
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #347: Real Exam Question with Answer & Explanation
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Question
You have developed a custom ML model using Vertex AI and want to deploy it for online serving. You need to optimize the model's serving performance by ensuring that the model can handle high throughput while minimizing latency. You want to use the simplest solution. What should you do?
Options
- ADeploy the model to a Vertex AI endpoint resource to automatically scale the serving backend
- BImplement a containerized serving solution using Cloud Run. Configure the concurrency settings
- CApply simplification techniques such as model pruning and quantization to reduce the model's size
- DEnable request-response logging for the model hosted in Vertex AI. Use Looker Studio to analyze
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