Exam Professional Machine Learning Engineer topic 1 question 177 discussion - ExamTopics


This question discusses optimizing a Vertex AI pipeline by choosing the best approach to reduce execution time and cost while testing different model algorithms.
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You have created a Vertex AI pipeline that includes two steps. The first step preprocesses 10 TB data completes in about 1 hour, and saves the result in a Cloud Storage bucket. The second step uses the processed data to train a model. You need to update the modelโ€™s code to allow you to test different algorithms. You want to reduce pipeline execution time and cost while also minimizing pipeline changes. What should you do?

  • A. Add a pipeline parameter and an additional pipeline step. Depending on the parameter value, the pipeline step conducts or skips data preprocessing, and starts model training.
  • B. Create another pipeline without the preprocessing step, and hardcode the preprocessed Cloud Storage file location for model training.
  • C. Configure a machine with more CPU and RAM from the compute-optimized machine family for the data preprocessing step.
  • D. Enable caching for the pipeline job, and disable caching for the model training step.
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Suggested Answer: D ๐Ÿ—ณ๏ธ

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