Google Professional Machine Learning Engineer
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Ultimate access to all questions.
You deployed a machine learning model using Vertex AI Pipelines, which involves reading data from BigQuery, creating a data copy in Cloud Storage in TFRecord format, training the model in Vertex AI Training, and deploying it to a Vertex AI endpoint. Recently, the model has made a misclassification error, and you have identified the specific version of the model responsible for this error. To investigate the root cause, you need to recover the exact data that this model version was trained on. How can you find the copy of the training data used for this specific model version?
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.