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 methods can be used to reduce the number of rows processed by BigQuery?

A team of researchers is running a high performance distributed computing platform on premises but wants to migrate to Google Cloud. The platform uses virtual machines. The researchers want to be able to scale up the number of virtual machines in the cluster based on CPU load. What would you recommend they use?

A team of data scientists has been using an on-premises cluster running Hadoop and HBase. They want to migrate to a managed service in Google Cloud. They also want to minimize changes to programs that make extensive use of the HBase API. What GCP service would you recommend?

You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?