Google Professional Machine Learning Engineer
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As a machine learning engineer at a large organization, you are tasked with migrating the company's ML and data workloads to Google Cloud. The data engineering team has provided you with structured data exported to a Cloud Storage bucket in Avro format. Your project requires setting up a workflow that will perform data analytics, create features for the ML model, and host these features for online predictions. How should you configure the pipeline?
As a machine learning engineer at a large organization, you are tasked with migrating the company's ML and data workloads to Google Cloud. The data engineering team has provided you with structured data exported to a Cloud Storage bucket in Avro format. Your project requires setting up a workflow that will perform data analytics, create features for the ML model, and host these features for online predictions. How should you configure the pipeline?
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