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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #227

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…

The correct answer is D. TextDatasetCreateOp, CustomTrainingJobOp, and ModelDeployOp. To train a sentiment analysis model from text, control parameter tuning, and deploy it using Vertex AI Pipelines, the correct components are TextDatasetCreateOp, CustomTrainingJobOp, and ModelDeployOp.

Submitted by olafpl· Apr 18, 2026ML pipeline operationalization

Question

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?

Options

  • ATabularDatasetCreateOp, CustomTrainingJobOp, and EndpointCreateOp
  • BTextDatasetCreateOp, AutoMLTextTrainingOp, and EndpointCreateOp
  • CTabularDatasetCreateOp. AutoMLTextTrainingOp, and ModelDeployOp
  • DTextDatasetCreateOp, CustomTrainingJobOp, and ModelDeployOp

How the community answered

(30 responses)
  • A
    3% (1)
  • B
    10% (3)
  • C
    3% (1)
  • D
    83% (25)

Why each option

To train a sentiment analysis model from text, control parameter tuning, and deploy it using Vertex AI Pipelines, the correct components are `TextDatasetCreateOp`, `CustomTrainingJobOp`, and `ModelDeployOp`.

ATabularDatasetCreateOp, CustomTrainingJobOp, and EndpointCreateOp

`TabularDatasetCreateOp` is for tabular data, not text reviews.

BTextDatasetCreateOp, AutoMLTextTrainingOp, and EndpointCreateOp

`AutoMLTextTrainingOp` uses Vertex AI AutoML, which abstracts away parameter tuning, directly contradicting the requirement to control model parameters.

CTabularDatasetCreateOp. AutoMLTextTrainingOp, and ModelDeployOp

`TabularDatasetCreateOp` is for tabular data, not text reviews, and `AutoMLTextTrainingOp` removes control over parameter tuning.

DTextDatasetCreateOp, CustomTrainingJobOp, and ModelDeployOpCorrect

`TextDatasetCreateOp` prepares a dataset for text data in Vertex AI, `CustomTrainingJobOp` allows full control over model training including hyperparameter tuning, and `ModelDeployOp` deploys the trained model to a Vertex AI Endpoint, matching all requirements.

Concept tested: Vertex AI Pipelines components for custom text ML workflows

Source: https://cloud.google.com/vertex-ai/docs/pipelines/build-pipeline#run-a-custom-training-job

Topics

#Vertex AI Pipelines#Custom Model Training#Model Deployment#Text Data

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