Topic 1 Question 216
You are creating a model training pipeline to predict sentiment scores from text-based product reviews. You want to have control over how the model parameters are tuned, and you will deploy the model to an endpoint after it has been trained. You will use Vertex AI Pipelines to run the pipeline. You need to decide which Google Cloud pipeline components to use. What components should you choose?
TabularDatasetCreateOp, CustomTrainingJobOp, and EndpointCreateOp
TextDatasetCreateOp, AutoMLTextTrainingOp, and EndpointCreateOp
TabularDatasetCreateOp. AutoMLTextTrainingOp, and ModelDeployOp
TextDatasetCreateOp, CustomTrainingJobOp, and ModelDeployOp
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- 正解だと思う選択肢: D
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.
👍 1pikachu0072024/01/12
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