Google Cloud Professional Machine Learning Engineer — Question 215

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?

Answer options

• A. TabularDatasetCreateOp, CustomTrainingJobOp, and EndpointCreateOp
• B. TextDatasetCreateOp, AutoMLTextTrainingOp, and EndpointCreateOp
• C. TabularDatasetCreateOp. AutoMLTextTrainingOp, and ModelDeployOp
• D. TextDatasetCreateOp, CustomTrainingJobOp, and ModelDeployOp

Correct answer: D

Explanation

The correct answer is D because it includes the TextDatasetCreateOp for handling text data, CustomTrainingJobOp for customized model training, and ModelDeployOp for deploying the model to an endpoint. Options A and C use TabularDatasetCreateOp, which is not suitable for text data, and option B uses AutoMLTextTrainingOp, which limits control over parameter tuning.