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 company uses Cloud SQL for PostgreSQL for its BI database. Queries involving joins on large tables are slow. Which TWO strategies should they implement to improve join performance? (Choose TWO.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Denormalize tables to reduce the number of joins
Denormalizing tables reduces the number of joins required in queries by combining related data into fewer tables. This directly minimizes the computational overhead of join operations in Cloud SQL for PostgreSQL, which is especially beneficial for large BI datasets where join performance is critical.
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.
✓
Denormalize tables to reduce the number of joins
Why this is correct
Denormalization physically stores related data together, avoiding joins.
Related concept
Read the scenario before looking for a memorised answer.
✓
Add indexes on the columns used in JOIN conditions
Why this is correct
Indexes allow the database to locate matching rows faster.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the number of CPU cores on the instance
Why it's wrong here
More CPU can help but is a generic scaling measure, not specific to join optimization.
✗
Create read replicas for the join queries
Why it's wrong here
Read replicas distribute reads but do not speed up individual join operations.
✗
Use connection pooling to reduce connection overhead
Why it's wrong here
Connection pooling helps concurrency, not per-query join performance.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse scaling resources (CPU, replicas) with query optimization techniques, failing to recognize that denormalization and indexing directly address the join performance bottleneck at the data structure level.
Detailed technical explanation
How to think about this question
In PostgreSQL, join performance heavily relies on efficient index scans and the query planner's ability to use indexes for nested loop, hash, or merge joins. Denormalization reduces the number of rows and columns scanned per query, while proper indexing on join columns (e.g., B-tree indexes) allows the planner to avoid full table scans. In Cloud SQL, enabling `pg_stat_statements` can help identify which joins are slow and whether index scans are being used.
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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: Denormalize tables to reduce the number of joins — Denormalizing tables reduces the number of joins required in queries by combining related data into fewer tables. This directly minimizes the computational overhead of join operations in Cloud SQL for PostgreSQL, which is especially beneficial for large BI datasets where join performance is critical.
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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Question Discussion
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