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Google Cloud Certified Professional Machine Learning Engineer · Google Cloud
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Either B or C could work, but TFX is more tailored for TensorFlow-based ML workflows if that's the framework.
D is can be or not based on the data, C is 100% irrespective of data, therefore C
Vertex AI Pipelines: This is Google Cloud's managed service for orchestrating ML workflows. It handles the execution of your pipeline steps, manages dependencies, and provides monitoring and logging capabilities. Crucially, it minimizes cluster management, which is a key requirement for you. TensorFlow Extended (TFX) SDK: TFX is a powerful SDK specifically designed for building production-ready ML pipelines. It provides pre-built components for common tasks like data ingestion, preprocessing, training, evaluation, and deployment, making it well-suited for your video frame processing and object detection pipeline. Integration with Vertex AI: TFX components are designed to work seamlessly with Vertex AI services, including training jobs and endpoints. This ensures smooth transitions between pipeline steps and simplifies model deployment.