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Scenario: You work for an advertising company and have developed a Spark ML model to predict click-through rates for advertisement blocks. Your company is migrating to Google Cloud from your on-premises data center, which is closing soon. The data will be migrated to BigQuery, including the data used for training your models. You need to quickly migrate your existing training pipelines to Google Cloud to continue periodic retraining of the Spark ML models. Question: What steps should you take to migrate your existing training pipelines to Google Cloud for retraining the Spark ML models periodically?