TRY APPROVED GOOGLE PROFESSIONAL-DATA-ENGINEER EXAM QUESTIONS TO PASS PROFESSIONAL-DATA-ENGINEER EXAM

Try Approved Google Professional-Data-Engineer Exam Questions To Pass Professional-Data-Engineer Exam

Try Approved Google Professional-Data-Engineer Exam Questions To Pass Professional-Data-Engineer Exam

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Google Certified Professional Data Engineer Exam Sample Questions (Q332-Q337):

NEW QUESTION # 332
You set up a streaming data insert into a Redis cluster via a Kafka cluster. Both clusters are running on Compute Engine instances. You need to encrypt data at rest with encryption keys that you can create, rotate, and destroy as needed. What should you do?

  • A. Create a dedicated service account, and use encryption at rest to reference your data stored in your Compute Engine cluster instances as part of your API service calls.
  • B. Create encryption keys locally. Upload your encryption keys to Cloud Key Management Service. Use those keys to encrypt your data in all of the Compute Engine cluster instances.
  • C. Create encryption keys in Cloud Key Management Service. Reference those keys in your API service calls when accessing the data in your Compute Engine cluster instances.
  • D. Create encryption keys in Cloud Key Management Service. Use those keys to encrypt your data in all of the Compute Engine cluster instances.

Answer: B


NEW QUESTION # 333
A shipping company has live package-tracking data that is sent to an Apache Kafka stream in real time. This is then loaded into BigQuery. Analysts in your company want to query the tracking data in BigQuery to analyze geospatial trends in the lifecycle of a package. The table was originally created with ingest-date partitioning. Over time, the query processing time has increased. You need to implement a change that would improve query performance in BigQuery. What should you do?

  • A. Implement clustering in BigQuery on the package-tracking ID column.
  • B. Re-create the table using data partitioning on the package delivery date.
  • C. Tier older data onto Cloud Storage files, and leverage extended tables.
  • D. Implement clustering in BigQuery on the ingest date column.

Answer: D


NEW QUESTION # 334
You have some data, which is shown in the graphic below. The two dimensions are X and Y, and the shade of each dot represents what class it is. You want to classify this data accurately using a linear algorithm. To do this you need to add a synthetic feature. What should the value of that feature be?