Free Google Professional-Data-Engineer Exam Questions

Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer data. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?

You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?

When you store data in Cloud Bigtable, what is the recommended minimum amount of stored data?

A manufacturer of delivery drones is implementing a new data analysis pipeline to detect part failures before they occur. The drones have multiple sensors that send performance and environment data to an analytics pipeline. Currently, data is sent to a REST API endpoint. The REST API endpoint that receives data cannot always keep up with the pace data is arriving. When that happens, data is lost. Machine learning engineers have asked you to change the ingestion process to reduce this data loss. What would you do?