GCP Data Engineer Exam Questions
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GCP Data Engineer Exam Questions
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25 Questions

1. What is the purpose of the Data Loss Prevention API?

2. How are images processed in ML models?

3. INGEST Services

4. What does the COPPA legislation protect?

5. What is TensorFlow?

6. What's the difference between Legacy and Standard SQL when using a project qualified table name?

7. What are the supported file types for Dataprep?

8. What are Small and Large steps in ML Learning rates?

9. What do you query in DataStore?

10. Do you need to restore restore snapshots to use them?

11. How do you access you Dataproc cluster?

12. What are User Defined Functions (UDFs) and what are their benefits?

13. What is MapReduce?

14. What command do you use to continuously sync between on-prem and GCP?

15. How is a BigTable instance structured?

16. Can Pub/Sub stream to Dataproc?

17. What is Cloud Pub/Sub?

18. What is model overfitting?

19. What three things does Dataflow use to deal with late data?

20. What format is data in when it's migrated to Dataproc?

21. What types of accounts are a best practice for IAM in Pub/Sub?

22. What do you use to update, insert, or delete data in Cloud Spanner tables?

23. What are the four steps (and their colors) to look at to best optimize query performance?

24. At what levels can you control IAM in Pub/Sub?

25. What are Cloud Spanner tables called?

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