- A
Increase the Cloud SQL instance's max_connections database flag to 10,000
Why wrong: Increasing max_connections raises the limit but doesn't fix the underlying connection proliferation. High connection counts consume database memory — the correct fix reduces actual connections.
- B
Deploy a connection pooler (e.g., PgBouncer) between the microservices and Cloud SQL
PgBouncer multiplexes thousands of application connections through a small pool of database connections, dramatically reducing the actual connections Cloud SQL handles.
- C
Enable Cloud SQL HA — the standby will handle the connection overflow
Why wrong: Cloud SQL HA standby replicas are for failover, not active connection distribution — they don't reduce connection count on the primary.
- D
Add a read replica — microservices can connect to the replica instead of the primary
Why wrong: Read replicas handle read traffic, not write traffic. Microservices that need write access still go to the primary. This doesn't resolve total connection count unless reads are explicitly offloaded.
Quick Answer
The answer is to deploy a connection pooler like PgBouncer between the microservices and Cloud SQL. This is correct because a connection pooler acts as a transparent intermediary, multiplexing hundreds of application connections—such as the 500 total from your 50 microservices—over a far smaller pool of persistent database connections, directly reducing the load on Cloud SQL without any code changes. On the Google Associate Cloud Engineer exam, this scenario tests your understanding of operational scaling and managed services; a common trap is assuming you must rewrite the application or increase instance tier, but the pooler solves the problem at the network layer. Remember the key insight: PgBouncer is “the middleman that saves your connections”—it reuses idle database links so your app never sees the limit.
Google ACE Practice Question: Ensuring successful operation of a cloud solution
This ACE practice question tests your understanding of ensuring successful operation of a cloud solution. 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 Cloud SQL production instance experiences a spike in connections during business hours, causing 'too many connections' errors. The application uses 50 microservices each maintaining 10 connections. What is the recommended solution to reduce connection count without rewriting the application?
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
Deploy a connection pooler (e.g., PgBouncer) between the microservices and Cloud SQL
Option B is correct because deploying a connection pooler like PgBouncer between the microservices and Cloud SQL allows many application connections to be multiplexed over a smaller number of actual database connections. This directly reduces the total connection count on the Cloud SQL instance without requiring any application code changes, as the pooler transparently manages the connection lifecycle and reuses idle connections.
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.
- ✗
Increase the Cloud SQL instance's max_connections database flag to 10,000
Why it's wrong here
Increasing max_connections raises the limit but doesn't fix the underlying connection proliferation. High connection counts consume database memory — the correct fix reduces actual connections.
- ✓
Deploy a connection pooler (e.g., PgBouncer) between the microservices and Cloud SQL
Why this is correct
PgBouncer multiplexes thousands of application connections through a small pool of database connections, dramatically reducing the actual connections Cloud SQL handles.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable Cloud SQL HA — the standby will handle the connection overflow
Why it's wrong here
Cloud SQL HA standby replicas are for failover, not active connection distribution — they don't reduce connection count on the primary.
- ✗
Add a read replica — microservices can connect to the replica instead of the primary
Why it's wrong here
Read replicas handle read traffic, not write traffic. Microservices that need write access still go to the primary. This doesn't resolve total connection count unless reads are explicitly offloaded.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that increasing a resource limit (like max_connections) is a valid solution to connection overload, when in fact it masks the problem and can cause resource exhaustion, whereas connection pooling is the correct architectural fix.
Detailed technical explanation
How to think about this question
Connection poolers like PgBouncer operate in transaction mode, where a single database connection can be reused across multiple client transactions, dramatically reducing the number of concurrent database connections. In a microservices architecture with 500 total connections (50 services × 10 connections), a pooler can reduce that to, for example, 50–100 persistent connections to Cloud SQL, staying well within default limits (e.g., 400 for db-n1-standard-1). This also avoids the overhead of frequent TCP handshakes and authentication, which is especially beneficial in high-connection-spike scenarios.
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 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
Questions learners often ask
What does this ACE question test?
Ensuring successful operation of a cloud solution — This question tests Ensuring successful operation of a cloud solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Deploy a connection pooler (e.g., PgBouncer) between the microservices and Cloud SQL — Option B is correct because deploying a connection pooler like PgBouncer between the microservices and Cloud SQL allows many application connections to be multiplexed over a smaller number of actual database connections. This directly reduces the total connection count on the Cloud SQL instance without requiring any application code changes, as the pooler transparently manages the connection lifecycle and reuses idle connections.
What should I do if I get this ACE 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 ACE 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 ACE exam.
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