- A
Create a materialized view with the aggregation query
Why wrong: Materialized views are good for pre-computed aggregations but may not support all aggregation functions and can be costly for monthly updates.
- B
Create a view that joins and aggregates the tables
A view provides a logical virtual table that hides complexity and ensures the BI team always sees the latest data.
- C
Create an external table pointing to the raw data files
Why wrong: External tables are for querying external data sources, not for defining aggregated structures.
- D
Create a new table to store the aggregated data using INSERT SELECT
Why wrong: This requires manual ETL and duplicates data, not ideal for ad-hoc reporting.
PCDE Practice Question: Define data structures and implement SQL for Business Intelligence
This PCDE practice question tests your understanding of define data structures and implement sql for business intelligence. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A retail company uses BigQuery to store sales transactions. The BI team needs to create a monthly customer lifetime value (CLV) report that aggregates purchase history across multiple tables. Which BigQuery feature should they use to define the data structure for this report?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Create a view that joins and aggregates the tables
Option B is correct because a view in BigQuery allows the BI team to define a logical data structure that joins and aggregates multiple tables without storing the results. This ensures the monthly CLV report always reflects the latest data, as views are re-evaluated at query time, which is ideal for recurring reports that need up-to-date aggregations.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a materialized view with the aggregation query
Why it's wrong here
Materialized views are good for pre-computed aggregations but may not support all aggregation functions and can be costly for monthly updates.
- ✓
Create a view that joins and aggregates the tables
Why this is correct
A view provides a logical virtual table that hides complexity and ensures the BI team always sees the latest data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Create an external table pointing to the raw data files
Why it's wrong here
External tables are for querying external data sources, not for defining aggregated structures.
- ✗
Create a new table to store the aggregated data using INSERT SELECT
Why it's wrong here
This requires manual ETL and duplicates data, not ideal for ad-hoc reporting.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between views and materialized views, trapping candidates who assume materialized views are always better for performance without considering the need for real-time data freshness in recurring reports.
Detailed technical explanation
How to think about this question
BigQuery views are logical tables defined by a SQL query; they do not incur storage costs and always return current data by executing the underlying query at runtime. For a monthly CLV report that joins multiple tables (e.g., transactions, customers, products), a view provides a reusable abstraction that the BI team can query directly, and BigQuery's columnar storage and query optimization ensure efficient execution even with large datasets. In practice, using a view avoids data duplication and simplifies maintenance, as changes to source tables automatically propagate to the report.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Questions learners often ask
What does this PCDE question test?
Define data structures and implement SQL for Business Intelligence — This question tests Define data structures and implement SQL for Business Intelligence — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a view that joins and aggregates the tables — Option B is correct because a view in BigQuery allows the BI team to define a logical data structure that joins and aggregates multiple tables without storing the results. This ensures the monthly CLV report always reflects the latest data, as views are re-evaluated at query time, which is ideal for recurring reports that need up-to-date aggregations.
What should I do if I get this PCDE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
This PCDE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCDE exam.
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