This PCDE practice question tests your understanding of monitor and optimize database performance. 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 data warehouse in BigQuery is running slower due to large full-table scans. Which feature can reduce the amount of data processed for common queries?
All of the above
All three features reduce data processed.
Clustering
Why wrong: Clustering helps but is not the only option.
Materialized Views
Why wrong: Materialized Views help but are not the only option.
Partitioning
Why wrong: Partitioning helps but is not the only option.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
All of the above
Option A is correct because partitioning, clustering, and materialized views all reduce the amount of data scanned in BigQuery. Partitioning limits scans to specific date ranges, clustering sorts data within partitions to skip irrelevant blocks, and materialized views precompute and store query results so subsequent queries read only the pre-aggregated output instead of scanning the base table. Together, these features minimize full-table scans and improve query performance.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
All of the above
Why this is correct
All three features reduce data processed.
Related concept
Read the scenario before looking for a memorised answer.
Clustering
Why it's wrong here
Clustering helps but is not the only option.
Materialized Views
Why it's wrong here
Materialized Views help but are not the only option.
Partitioning
Why it's wrong here
Partitioning helps but is not the only option.
Common exam traps
Google Cloud often tests the misconception that a single optimization technique (like partitioning or clustering) is sufficient to solve all performance issues, when in fact the correct answer requires combining multiple features to achieve the greatest reduction in data scanned.
Detailed technical explanation
BigQuery uses a columnar storage format (Capacitor) and a distributed execution engine. Partitioning physically splits data into separate storage blocks by a column (e.g., date), while clustering sorts data within each partition by up to four columns. Materialized views are stored as separate tables that BigQuery automatically refreshes based on base table changes, and they can be used by the query optimizer to rewrite queries transparently. In practice, combining partitioning with clustering on a high-cardinality column like `event_timestamp` can reduce scanned bytes by over 90% for time-range queries with additional filters.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Monitor and optimize database performance — study guide chapter
Learn the concepts, then practise the questions
Monitor and optimize database performance practice questions
Targeted practice on this topic area only
All PCDE questions
503 questions across all exam domains
Google Professional Cloud Database Engineer study guide
Full concept coverage aligned to exam objectives
PCDE practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise PCDE questions linked to Plan and manage database infrastructure.
Practise PCDE questions linked to Define data structures and implement SQL for Business Intelligence.
Practise PCDE questions linked to Design and implement database schemas.
Practise PCDE questions linked to Monitor and optimize database performance.
Practise PCDE questions linked to PCDE fundamentals.
Practise PCDE questions linked to PCDE scenario.
Practise PCDE questions linked to PCDE troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Monitor and optimize database performance — This question tests Monitor and optimize database performance — Read the scenario before looking for a memorised answer..
The correct answer is: All of the above — Option A is correct because partitioning, clustering, and materialized views all reduce the amount of data scanned in BigQuery. Partitioning limits scans to specific date ranges, clustering sorts data within partitions to skip irrelevant blocks, and materialized views precompute and store query results so subsequent queries read only the pre-aggregated output instead of scanning the base table. Together, these features minimize full-table scans and improve query performance.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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 →
Keep practising
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.