Free Google Professional-Data-Engineer Exam Questions

Why do you need to split a machine learning dataset into training data and test data?

Your company's customer_order table in BigOuery stores the order history for 10 million customers, with a

table size of 10 PB. You need to create a dashboard for the support team to view the order history. The

dashboard has two filters, countryname and username. Both are string data types in the BigQuery table. When

a filter is applied, the dashboard fetches the order history from the table and displays the query results.

However, the dashboard is slow to show the results when applying the filters to the following query:

You work for a bank. You have a labelled dataset that contains information on already granted loan application and whether these applications have been defaulted. You have been asked to train a model to predict default rates for credit applicants. What should you do?

You are using BigQuery with a regional dataset that includes a table with the daily sales volumes. This table is updated multiple times per day. You need to protect your sales table in case of regional failures with a recovery point objective (RPO) of less than 24 hours, while keeping costs to a minimum. What should you do?

Analysts are using Cloud Data Studio for analyzing data sets. They would like to improve the performance of the time required to update tables and charts when working with the data. What would you recommend they try to improve performance?