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Google Exam Professional-Machine-Learning-Engineer Topic 10 Question 58 Discussion

Actual exam question for Google's Google Professional Machine Learning Engineer exam
Question #: 58
Topic #: 10
[All Google Professional Machine Learning Engineer Questions]

You have built a model that is trained on data stored in Parquet files. You access the data through a Hive table hosted on Google Cloud. You preprocessed these data with PySpark and exported it as a CSV file into Cloud Storage. After preprocessing, you execute additional steps to train and evaluate your model. You want to parametrize this model training in Kubeflow Pipelines. What should you do?

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Suggested Answer: D

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