Google Professional Machine Learning Engineer
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You have created a Vertex AI pipeline comprising two steps: preprocessing and model training. The first step preprocesses 10 TB of data in about 1 hour and saves the result in a Cloud Storage bucket. The second step uses this processed data to train a machine learning model. Now, you need to update the model’s code to test different machine learning algorithms. Your goal is to reduce the pipeline’s execution time and cost, while minimizing changes to the existing pipeline. What should you do?
You have created a Vertex AI pipeline comprising two steps: preprocessing and model training. The first step preprocesses 10 TB of data in about 1 hour and saves the result in a Cloud Storage bucket. The second step uses this processed data to train a machine learning model. Now, you need to update the model’s code to test different machine learning algorithms. Your goal is to reduce the pipeline’s execution time and cost, while minimizing changes to the existing pipeline. What should you do?
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