Quick Answer
The answer is Query Insights, the dedicated tool within Cloud Spanner for identifying resource-intensive queries. This is correct because Query Insights captures and analyzes query performance metrics like execution latency, CPU consumption, and rows scanned per query, then groups them by query fingerprint to pinpoint exactly which queries are consuming the most resources. On the Google Professional Cloud Database Engineer exam, this question tests your knowledge of Cloud Spanner’s native monitoring capabilities versus external tools like Cloud Monitoring or Logging—a common trap is to suggest generic logging, but Query Insights provides the specific, query-level breakdown needed for optimization. Remember that Query Insights is built directly into the Spanner console, so you don’t need to set up custom dashboards. A useful memory tip: think of Query Insights as the “fingerprint detective” for slow queries—it matches performance data to the exact query fingerprint, not just the overall database load.
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 team notices that queries on a Cloud Spanner database are slow. They want to identify which queries are consuming the most resources. What should they use?
Query Insights
Query Insights is the dedicated tool for analyzing Cloud Spanner query performance.
Cloud Logging
Why wrong: Cloud Logging is not optimized for query-level performance analysis.
Performance Dashboard
Why wrong: Performance Dashboard is not available for Cloud Spanner.
Cloud Monitoring metrics
Why wrong: Cloud Monitoring provides aggregated metrics but not per-query breakdown.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Query Insights
Query Insights is the correct tool because it is specifically designed for Cloud Spanner to analyze query performance, providing detailed metrics such as execution latency, CPU usage, and rows scanned per query. It helps identify the most resource-intensive queries by breaking down performance by query fingerprint, allowing the team to pinpoint and optimize slow queries directly.
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.
Query Insights
Why this is correct
Query Insights is the dedicated tool for analyzing Cloud Spanner query performance.
Related concept
Read the scenario before looking for a memorised answer.
Cloud Logging
Why it's wrong here
Cloud Logging is not optimized for query-level performance analysis.
Performance Dashboard
Why it's wrong here
Performance Dashboard is not available for Cloud Spanner.
Cloud Monitoring metrics
Why it's wrong here
Cloud Monitoring provides aggregated metrics but not per-query breakdown.
Common exam traps
Google Cloud often tests the distinction between high-level monitoring tools (Cloud Monitoring, Performance Dashboard) and query-specific diagnostic tools (Query Insights), trapping candidates who confuse general performance metrics with per-query resource analysis.
Detailed technical explanation
Query Insights works by collecting query statistics from Cloud Spanner's internal query execution engine, including per-query latency, CPU time, and rows returned, aggregated by query fingerprint (a normalized hash of the SQL text). It surfaces top-N queries by resource consumption, enabling DBAs to identify regressions or inefficient scans, such as full table scans that could be optimized with secondary indexes or query restructuring. In a real-world scenario, a team might use Query Insights to discover that a single query with a missing filter is consuming 80% of CPU, then add a WHERE clause to drastically reduce cost.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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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: Query Insights — Query Insights is the correct tool because it is specifically designed for Cloud Spanner to analyze query performance, providing detailed metrics such as execution latency, CPU usage, and rows scanned per query. It helps identify the most resource-intensive queries by breaking down performance by query fingerprint, allowing the team to pinpoint and optimize slow queries directly.
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.
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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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