- A
Increase the BigQuery reservation slot count
Why wrong: Increasing slots increases cost and may improve performance but does not optimize the query structure.
- B
Partition the table by the transaction date column
Partitioning limits data scanned to relevant partitions, improving performance and reducing cost.
- C
Cluster the table by the transaction date column
Why wrong: Clustering improves sort-based optimization but does not reduce data scanned as effectively as partitioning.
- D
Denormalize the table by including dimension attributes
Why wrong: Denormalization can reduce joins but does not directly address the scan volume issue.
Question 828 of 1,000
Define data structures and implement SQL for Business Intelligence →easyMultiple ChoiceObjective-mapped
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 BigQuery for BI dashboards. Users report that queries on the sales table take longer than expected. The table contains daily transaction data and is not partitioned. Which action will most improve query performance while minimizing cost?
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
✓
Partition the table by the transaction date column
Partitioning the table by the transaction date column allows BigQuery to perform partition pruning, scanning only the relevant date ranges instead of the entire table. This directly reduces the amount of data read, improving query performance and lowering costs since BigQuery charges based on the data scanned.
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.
- ✗
Increase the BigQuery reservation slot count
Why it's wrong here
Increasing slots increases cost and may improve performance but does not optimize the query structure.
- ✓
Partition the table by the transaction date column
Why this is correct
Partitioning limits data scanned to relevant partitions, improving performance and reducing cost.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cluster the table by the transaction date column
Why it's wrong here
Clustering improves sort-based optimization but does not reduce data scanned as effectively as partitioning.
- ✗
Denormalize the table by including dimension attributes
Why it's wrong here
Denormalization can reduce joins but does not directly address the scan volume issue.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common mistake in Google exams is confusing partitioning with clustering. For date-range queries on a non-partitioned table, clustering alone does not reduce the amount of data scanned—it only sorts data within each shard. Partitioning is required to enable partition pruning and avoid full table scans. Note that Google BigQuery charges based on data scanned, so reducing scanned data directly lowers cost.
Detailed technical explanation
How to think about this question
BigQuery partitions are implemented as separate storage blocks (shards) that can be pruned at query planning time using the _PARTITIONTIME or _PARTITIONDATE pseudo-columns. When a table is partitioned by a DATE column, BigQuery creates up to 4,000 partitions, and queries with filters on that column only read the relevant partitions, dramatically reducing I/O and cost. In contrast, clustering sorts data within each partition but does not eliminate the need to scan all partitions if no partition filter is applied.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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: Partition the table by the transaction date column — Partitioning the table by the transaction date column allows BigQuery to perform partition pruning, scanning only the relevant date ranges instead of the entire table. This directly reduces the amount of data read, improving query performance and lowering costs since BigQuery charges based on the data scanned.
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: Jul 4, 2026
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