- A
Use a flat-rate reservation to improve query concurrency.
Why wrong: Flat-rate controls slot usage but doesn't improve individual query performance.
- B
Denormalize the table to reduce joins.
Why wrong: Can reduce join overhead but may increase storage cost; less effective than partitioning.
- C
Increase the number of slots available for the project.
Why wrong: More slots increase concurrency but not per-query performance.
- D
Partition the table by date and cluster by frequently filtered columns.
Partitioning prunes partitions, clustering improves filter efficiency, reducing scanned data.
Question 404 of 1,000
mediumMultiple ChoiceObjective-mapped
Google ACE Using BigQuery for analytics Practice Question
This ACE practice question tests your understanding of using bigquery for analytics. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 is using BigQuery for analytics. They notice that queries are slow and expensive. The data is loaded daily into a single table. Which action would most improve performance and reduce 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 date and cluster by frequently filtered columns.
Partitioning the table by date allows BigQuery to prune partitions during query execution, scanning only the relevant daily data instead of the entire table. Clustering on frequently filtered columns further reduces the data scanned by sorting data within partitions. This directly reduces both query cost (pay-per-byte) and latency, addressing the core issue of slow, expensive queries on a large daily-loaded table.
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.
- ✗
Use a flat-rate reservation to improve query concurrency.
Why it's wrong here
Flat-rate controls slot usage but doesn't improve individual query performance.
- ✗
Denormalize the table to reduce joins.
Why it's wrong here
Can reduce join overhead but may increase storage cost; less effective than partitioning.
- ✗
Increase the number of slots available for the project.
Why it's wrong here
More slots increase concurrency but not per-query performance.
- ✓
Partition the table by date and cluster by frequently filtered columns.
Why this is correct
Partitioning prunes partitions, clustering improves filter efficiency, reducing scanned data.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that increasing compute resources (slots or concurrency) is the primary fix for slow queries, when in reality data pruning via partitioning and clustering is the first and most impactful optimization for cost and performance.
Detailed technical explanation
How to think about this question
BigQuery charges based on the number of bytes processed by each query (on-demand pricing). Partitioning by date creates separate storage blocks for each day, and clustering physically reorders data within partitions based on column values (e.g., user_id, region). When a query filters on the partition column (e.g., date) and a clustered column, BigQuery uses the table's metadata to skip entire blocks of data, achieving sub-second scan times on petabyte-scale tables. This is a fundamental optimization for time-series data, as daily loads naturally align with date-based partitioning.
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
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.
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FAQ
Questions learners often ask
What does this ACE question test?
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 date and cluster by frequently filtered columns. — Partitioning the table by date allows BigQuery to prune partitions during query execution, scanning only the relevant daily data instead of the entire table. Clustering on frequently filtered columns further reduces the data scanned by sorting data within partitions. This directly reduces both query cost (pay-per-byte) and latency, addressing the core issue of slow, expensive queries on a large daily-loaded table.
What should I do if I get this ACE 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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 30, 2026
This ACE 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 ACE exam.
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