Exam Professional Machine Learning Engineer topic 1 question 216 discussion

"Text dataset -> TextDatasetCreateOp Control over parameters -> CustomTrainingJobOp"

TextDatasetCreateOp: This component is specifically designed to handle text-based data like product reviews. It reads and prepares the text data for training the model. CustomTrainingJobOp: Since you want control over hyperparameter tuning, a custom training job is the most suitable option. This component allows you to define your training script using a framework like TensorFlow and configure hyperparameters for optimization. ModelDeployOp: After training, this component uploads the trained model to the Vertex AI Model Registry and deploys it to a Vertex AI Endpoint for serving predictions.

D fits perfect

D AutoML uses a predefined set of hyperparameter values for each algorithm used in model training. We can not have a control over hyperparameter

Text dataset -> TextDatasetCreateOp Control over parameters -> CustomTrainingJobOp

TextDatasetCreateOp: This component is specifically designed to create datasets from text-based data, essential for handling product reviews. CustomTrainingJobOp: This component provides full control over the training process, allowing you to specify model architecture, hyperparameter tuning strategies, and other training parameters, aligning with the requirement for control over model tuning. ModelDeployOp: This component streamlines model deployment to a Vertex AI endpoint for real-time or batch inference, enabling the trained model to serve predictions.