GCP ML Engineer Practice Questions - Google Cloud Professional Machine Learning Engineer Exam - Variant 2

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A data science team stores features in multiple BigQuery tables and Cloud Storage buckets. Different models reuse the same features but compute them independently, leading to training-serving skew. What should you implement to ensure feature consistency?

Create materialized views in BigQuery for each feature Use Vertex AI Feature Store as a centralized feature repository Write Cloud Functions to synchronize feature values hourly Store all features in a single denormalized BigQuery table

Correct Answer:

Use Vertex AI Feature Store as a centralized feature repository

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