You have developed a model trained on data stored gcp video

Full Certification Question

You have developed a model trained on data stored in Parquet files, which are accessed through a Hive table hosted on Google Cloud. You performed data preprocessing using PySpark and exported it as a CSV file to Cloud Storage. Following preprocessing, you conducted further steps for model training and evaluation. Now, you intend to parameterize the model training process within Kubeflow Pipelines. What steps should you take to achieve this?