Page Reader AI | Exam Professional Machine Learning Engineer topic 1 question 228 discussion

Exam Professional Machine Learning Engineer topic 1 question 228 discussion - ExamTopics

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Problem

A misclassification error occurred in a machine learning model trained and deployed using Vertex AI Pipelines. The pipeline processes data from BigQuery, copies it to Cloud Storage as TFRecords, trains the model in Vertex AI Training, and deploys it to a Vertex AI endpoint. The goal is to recover the training data used by the specific model version that caused the misclassification.

Options

A. Use Vertex AI Feature Store to store and search for training data.
B. Use Vertex AI Metadata's lineage feature to trace the model artifact, find the data copy creation step, and locate the data.
C. Use Vertex AI endpoint logging to find the deployment timestamp, then locate the pipeline run and data copy location in the logs.
D. Find the Vertex AI Training job ID, and search its logs for the training data.

Solution

The correct solution is B. Utilizing Vertex AI Metadata's lineage capabilities allows tracing back from the misclassified model version to the specific data used for its training. This method provides the most direct and accurate path to recovering the relevant training data.

You are investigating the root cause of a misclassification error made by one of your models. You used Vertex AI Pipelines to train and deploy the model. The pipeline reads data from BigQuery. creates a copy of the data in Cloud Storage in TFRecord format, trains the model in Vertex AI Training on that copy, and deploys the model to a Vertex AI endpoint. You have identified the specific version of that model that misclassified, and you need to recover the data this model was trained on. How should you find that copy of the data?

A. Use Vertex AI Feature Store. Modify the pipeline to use the feature store, and ensure that all training data is stored in it. Search the feature store for the data used for the training.
B. Use the lineage feature of Vertex AI Metadata to find the model artifact. Determine the version of the model and identify the step that creates the data copy and search in the metadata for its location.
C. Use the logging features in the Vertex AI endpoint to determine the timestamp of the model’s deployment. Find the pipeline run at that timestamp. Identify the step that creates the data copy, and search in the logs for its location.
D. Find the job ID in Vertex AI Training corresponding to the training for the model. Search in the logs of that job for the data used for the training.

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