You are developing a batch process that will train a custom model and perform predictions. You need to be able to show lineage for both your model and the batch predictions. What should you do?

The correct answer is D. 1. Use a Vertex AI Pipelines custom training job component to train your model.. This approach allows you to track lineage effectively through the entire workflow. By using Vertex AI Pipelines, you can ensure that both the model training and batch prediction processes are captured within the pipeline's metadata. This setup provides built-in support for lineag

Submitted by takeshi77· Apr 18, 2026ML pipeline operationalization

Question

You are developing a batch process that will train a custom model and perform predictions. You need to be able to show lineage for both your model and the batch predictions. What should you do?

Options

A
1. Upload your dataset to BigQuery.
B
1. Use Vertex AI Experiments to evaluate model performance during training.
C
1. Create a Vertex AI managed dataset.
D
1. Use a Vertex AI Pipelines custom training job component to train your model.

How the community answered

(39 responses)

A
13% (5)
B
3% (1)
C
8% (3)
D
77% (30)

Explanation

This approach allows you to track lineage effectively through the entire workflow. By using Vertex AI Pipelines, you can ensure that both the model training and batch prediction processes are captured within the pipeline's metadata. This setup provides built-in support for lineage tracking, making it easier to associate the trained model with its corresponding batch predictions. Thus, you can clearly trace the relationships between your data, model, and predictions, fulfilling your requirements for lineage visibility.

Topics

#ML Lineage#Vertex AI Pipelines#Custom Model Training#Batch Predictions

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