This PCDE practice question tests your understanding of monitor and optimize database performance. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. A key principle to apply: slow Query Log. 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.
Exhibit
Refer to the exhibit.
```
Cloud Monitoring alert policy condition:
metric.type="logging.googleapis.com/user/log-entry-count"
resource.type="cloud_sql_database"
condition_threshold:
comparison: COMPARISON_GT
threshold_value: 100
duration: 60s
```
An alert is configured to trigger when the number of queries exceeding the 'log_min_duration_statement' threshold suddenly spikes. What is this alert monitoring?
Exhibit
Refer to the exhibit.
```
Cloud Monitoring alert policy condition:
metric.type="logging.googleapis.com/user/log-entry-count"
resource.type="cloud_sql_database"
condition_threshold:
comparison: COMPARISON_GT
threshold_value: 100
duration: 60s
```
A
High disk I/O
Why wrong: Disk I/O is a metric, not a log entry count.
B
High number of database connections
Why wrong: Connection count is a metric, not a log entry count.
C
High CPU usage
Why wrong: CPU usage is a metric, not a log entry count.
D
High number of slow queries
The alert is on the count of log entries, which likely come from the slow query log.
The answer is a high number of slow queries. This alert is likely monitoring that metric because slow query logs in Cloud SQL for PostgreSQL are the primary indicator of database performance bottlenecks, triggered by the `log_min_duration_statement` parameter. A sudden spike in these logs directly signals inefficient SQL, missing indexes, or lock contention, all of which degrade throughput and user experience. On the Google Professional Cloud Database Engineer exam, this concept tests your understanding of how to correlate Cloud Monitoring alerts with PostgreSQL operational parameters—a common trap is confusing slow query alerts with connection limit or CPU utilization alerts. Remember that slow query monitoring focuses on query execution time, not resource saturation. A useful memory tip: think of the parameter name itself—"log_min_duration_statement"—as your clue that the alert is about the duration of statements, meaning the number of queries exceeding that threshold.
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
✓
High number of slow queries
The alert monitors a high number of slow queries, as the threshold 'log_min_duration_statement' in PostgreSQL determines which queries are logged as slow. A spike in these slow query logs directly indicates performance degradation from inefficient SQL, missing indexes, or lock contention, making it a key metric for database performance monitoring.
Key principle: Slow Query Log
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
The alert is on the count of log entries, which likely come from the slow query log.
Related concept
Slow Query Log
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between symptoms (high CPU, high I/O) and root causes (slow queries), tricking candidates into selecting a generic metric rather than the specific performance indicator being monitored.
Detailed technical explanation
How to think about this question
In PostgreSQL, slow queries are identified via the `pg_stat_statements` extension or the `auto_explain` module, which capture query execution plans and durations. A high number of slow queries often reveals missing indexes, suboptimal join orders, or inefficient `WHERE` clauses that force sequential scans. In a real-world scenario, a sudden increase in slow queries during peak hours might indicate a recent schema change that invalidated an index, requiring immediate DBA intervention.
KKey Concepts to Remember
Slow Query Log
log_min_duration_statement
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
Slow Query Log
Real-world example
How this comes up in practice
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. Slow Query Log 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
Got this wrong? Here's your next step.
Review slow Query Log, then practise related PCDE questions on the same topic to reinforce the concept.
Monitor and optimize database performance — This question tests Monitor and optimize database performance — Slow Query Log.
What is the correct answer to this question?
The correct answer is: High number of slow queries — The alert monitors a high number of slow queries, as the threshold 'log_min_duration_statement' in PostgreSQL determines which queries are logged as slow. A spike in these slow query logs directly indicates performance degradation from inefficient SQL, missing indexes, or lock contention, making it a key metric for database performance monitoring.
What should I do if I get this PCDE question wrong?
Review slow Query Log, then practise related PCDE questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Slow Query Log
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Question Discussion
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