Become Google Certified with updated Professional-Machine-Learning-Engineer exam questions and correct answers
You work for a retail company. You have a managed tabular dataset in Vertex Al that contains sales data from
three different stores. The dataset includes several features such as store name and sale timestamp. You want
to use the data to train a model that makes sales predictions for a new store that will open soon You need to
split the data between the training, validation, and test sets What approach should you use to split the data?
You work for a food product company. Your company’s historical sales data is stored in BigQuery.You need to use Vertex AI’s custom training service to train multiple TensorFlow models that read the data from BigQuery and predict future sales. You plan to implement a data preprocessing algorithm that performs mm-max scaling and bucketing on a large number of features before you start experimenting with the models. You want to minimize preprocessing time, cost, and development effort. How should you configure this workflow?
You work at a leading healthcare firm developing state-of-the-art algorithms for various use cases You have
unstructured textual data with custom labels You need to extract and classify various medical phrases with
these labels What should you do?
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