PCDOE Optimizing service performance Practice Question
This PCDOE practice question tests your understanding of optimizing service 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 company's Cloud SQL for PostgreSQL instance is experiencing performance degradation. They observe a high number of idle connections and slow transaction commit times. Which combination of actions will most effectively address this issue?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure statement timeout and use PgBouncer for connection pooling.
The high number of idle connections and slow transaction commit times indicate connection management and resource contention issues. PgBouncer reduces overhead by pooling and reusing database connections, while statement timeout prevents long-running queries from holding locks and consuming resources, directly addressing both symptoms.
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.
✗
Add a read replica and route read-only queries to it.
Why it's wrong here
Read replicas help with read scaling, not commit latency or idle connections.
✓
Configure statement timeout and use PgBouncer for connection pooling.
Read the scenario before looking for a memorised answer.
✗
Increase the storage size and enable automatic backup.
Why it's wrong here
Storage size does not affect idle connections or commit times.
✗
Drop unused indexes and run VACUUM.
Why it's wrong here
These help with bloat but not idle connections or commit latency directly.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that performance degradation is always solved by scaling storage or adding replicas, when the real issue is connection management and query timeout configuration.
Detailed technical explanation
How to think about this question
PgBouncer operates in transaction pooling mode, where it assigns a backend connection to a client only for the duration of a transaction, then returns it to the pool — this eliminates the overhead of maintaining many idle connections. Statement timeout (via `statement_timeout` parameter) aborts queries that exceed the configured duration, preventing them from holding transaction locks and blocking commits. In Cloud SQL, these settings are configured in the database flags or via the PgBouncer sidecar, and idle connections in PostgreSQL consume shared memory and lock manager resources even when not active.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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.
Optimizing service performance — This question tests Optimizing service performance — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure statement timeout and use PgBouncer for connection pooling. — The high number of idle connections and slow transaction commit times indicate connection management and resource contention issues. PgBouncer reduces overhead by pooling and reusing database connections, while statement timeout prevents long-running queries from holding locks and consuming resources, directly addressing both symptoms.
What should I do if I get this PCDOE 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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Question Discussion
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