- A
Create materialized views for common aggregations.
Why wrong: Materialized views can pre-compute results but may not address the slot limit of the current query.
- B
Purchase a slot reservation and assign the project to it.
Reservations provide dedicated slots, allowing queries to use more resources and run faster.
- C
Cluster the tables on frequently filtered columns.
Why wrong: Clustering improves I/O but not slot availability.
- D
Partition the tables by date.
Why wrong: Partitioning reduces scanned data but does not increase slot usage.
Quick Answer
The answer is to purchase a slot reservation and assign the project to it. This is correct because on-demand pricing in BigQuery limits you to a default per-project slot capacity, typically 2,000 slots, and when your job shows 100% slot usage for its entire duration, it means the query is resource-constrained and cannot be accelerated further without additional dedicated compute capacity. A slot reservation provides those dedicated slots, eliminating contention and allowing the query to run faster. On the Google Professional Cloud Database Engineer exam, this scenario tests your understanding of the fundamental difference between on-demand and capacity-based pricing models—a common trap is thinking that optimizing the query itself will help when the bottleneck is purely slot availability, not query inefficiency. Remember the key distinction: on-demand is shared, reservations are dedicated. For a memory tip, think “100% slots? Time for slots.”
PCDE Monitor and optimize database performance Practice Question
This PCDE practice question tests your understanding of monitor and optimize database performance. 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 bigquery job is running slower than expected. Checking the job information, you see that the slot usage is at 100% for the entire duration of the query. You are using on-demand pricing. What is the most effective way to improve query performance?
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
Purchase a slot reservation and assign the project to it.
With on-demand pricing, your query is limited to the default per-project slot capacity (typically 2,000 slots in BigQuery). If slot usage is at 100% for the entire duration, the query is resource-constrained and cannot be sped up without additional slots. Purchasing a slot reservation and assigning the project to it provides dedicated slots, eliminating the contention and allowing the query to run faster.
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 materialized views for common aggregations.
Why it's wrong here
Materialized views can pre-compute results but may not address the slot limit of the current query.
- ✓
Purchase a slot reservation and assign the project to it.
Why this is correct
Reservations provide dedicated slots, allowing queries to use more resources and run faster.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cluster the tables on frequently filtered columns.
Why it's wrong here
Clustering improves I/O but not slot availability.
- ✗
Partition the tables by date.
Why it's wrong here
Partitioning reduces scanned data but does not increase slot usage.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that performance issues are always solved by data organization techniques (partitioning/clustering) or precomputation (materialized views), when in fact the bottleneck is compute capacity (slots) under on-demand pricing.
Detailed technical explanation
How to think about this question
BigQuery on-demand pricing uses a shared slot pool with a per-project cap (default 2,000 slots). When slot usage is pinned at 100%, the query is experiencing resource contention and is queued or throttled. A slot reservation (flex or monthly) provides dedicated slots that bypass the shared pool, allowing the query to use more compute capacity and complete faster. Note that even with reservations, the query must still be optimized for parallelism; however, the immediate fix for a slot-bound query is to increase slot capacity.
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.
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FAQ
Questions learners often ask
What does this PCDE question test?
Monitor and optimize database performance — This question tests Monitor and optimize database performance — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Purchase a slot reservation and assign the project to it. — With on-demand pricing, your query is limited to the default per-project slot capacity (typically 2,000 slots in BigQuery). If slot usage is at 100% for the entire duration, the query is resource-constrained and cannot be sped up without additional slots. Purchasing a slot reservation and assigning the project to it provides dedicated slots, eliminating the contention and allowing the query to run faster.
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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