Exam Professional-Data-Engineer Topic 4 Question 385 Discussion

Actual exam question for Google's Professional-Data-Engineer exam
Question #: 385
Topic #: 4
What are two of the benefits of using denormalized data structures in BigQuery?

Suggested Answer: B Vote an answer

Denormalization increases query speed for tables with billions of rows because BigQuery's performance degrades when doing JOINs on large tables, but with a denormalized data structure, you don't have to use JOINs, since all of the data has been combined into one table.
Denormalization also makes queries simpler because you do not have to use JOIN clauses.
Denormalization increases the amount of data processed and the amount of storage required because it creates redundant data.
Reference:
https://cloud.google.com/solutions/bigquery-data-warehouse#denormalizing_data

by Quintion at Nov 14, 2025, 07:13 AM

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