- A
Implement a caching layer with Memorystore.
Why wrong: Caching reduces database load, but adding it is more involved than enabling connection pooling and may not address immediate connection overhead.
- B
Enable Cloud SQL connection pooling.
Connection pooling minimizes the cost of repeatedly opening and closing database connections, directly addressing latency caused by connection setup.
- C
Move the database to Cloud Spanner.
Why wrong: While Spanner offers horizontal scaling, it is a complex migration and not the simplest first step for latency optimization.
- D
Increase the number of replicas in the GKE deployment.
Why wrong: Scaling replicas may improve compute capacity but does not reduce database connection overhead; it could even increase the number of connections.
PCDOE Optimizing service performance Practice Question
This PCDOE practice question tests your understanding of optimizing service 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 company deploys a microservices application on Google Kubernetes Engine (GKE). They notice increased latency during peak hours. The application uses a Cloud SQL database for state. The team wants to optimize service performance. What should they do first?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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
Enable Cloud SQL connection pooling.
Option B is correct because the primary bottleneck during peak hours for a microservices application using Cloud SQL is often the number of database connections. Connection pooling reuses a fixed set of connections, reducing the overhead of establishing new connections and preventing connection exhaustion, which directly addresses increased latency without requiring architectural changes.
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.
- ✗
Implement a caching layer with Memorystore.
Why it's wrong here
Caching reduces database load, but adding it is more involved than enabling connection pooling and may not address immediate connection overhead.
- ✓
Enable Cloud SQL connection pooling.
Why this is correct
Connection pooling minimizes the cost of repeatedly opening and closing database connections, directly addressing latency caused by connection setup.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Move the database to Cloud Spanner.
Why it's wrong here
While Spanner offers horizontal scaling, it is a complex migration and not the simplest first step for latency optimization.
- ✗
Increase the number of replicas in the GKE deployment.
Why it's wrong here
Scaling replicas may improve compute capacity but does not reduce database connection overhead; it could even increase the number of connections.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that scaling out (increasing replicas) always improves performance, but in stateful applications with a centralized database, it can backfire by increasing connection pressure; the trap here is that candidates overlook connection management as the first optimization step and jump to caching or database migration.
Detailed technical explanation
How to think about this question
Cloud SQL has a default maximum of 100 connections for smaller tiers, and each GKE pod typically opens its own connection pool. Without connection pooling (e.g., using pgBouncer for PostgreSQL or HikariCP for Java), each pod may open multiple connections, quickly exhausting the limit and causing queuing or dropped connections. Connection pooling works by multiplexing application requests over a smaller number of persistent database connections, reducing TCP handshake overhead and preventing the database from being overwhelmed during traffic spikes.
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
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 — study guide chapter
Learn the concepts, then practise the questions
- →
Optimizing service performance practice questions
Targeted practice on this topic area only
- →
All PCDOE questions
500 questions across all exam domains
- →
Google Professional Cloud DevOps Engineer study guide
Full concept coverage aligned to exam objectives
- →
PCDOE practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related PCDOE practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Bootstrapping a Google Cloud organization for DevOps practice questions
Practise PCDOE questions linked to Bootstrapping a Google Cloud organization for DevOps.
Managing service incidents practice questions
Practise PCDOE questions linked to Managing service incidents.
Managing Google Cloud costs practice questions
Practise PCDOE questions linked to Managing Google Cloud costs.
Building and implementing CI/CD pipelines practice questions
Practise PCDOE questions linked to Building and implementing CI/CD pipelines.
Implementing service monitoring strategies practice questions
Practise PCDOE questions linked to Implementing service monitoring strategies.
Optimizing service performance practice questions
Practise PCDOE questions linked to Optimizing service performance.
PCDOE fundamentals practice questions
Practise PCDOE questions linked to PCDOE fundamentals.
PCDOE scenario practice questions
Practise PCDOE questions linked to PCDOE scenario.
PCDOE troubleshooting practice questions
Practise PCDOE questions linked to PCDOE troubleshooting.
Practice this exam
Start a free PCDOE practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this PCDOE question test?
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: Enable Cloud SQL connection pooling. — Option B is correct because the primary bottleneck during peak hours for a microservices application using Cloud SQL is often the number of database connections. Connection pooling reuses a fixed set of connections, reducing the overhead of establishing new connections and preventing connection exhaustion, which directly addresses increased latency without requiring architectural changes.
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.
Are there clue words in this question I should notice?
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
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 →
Last reviewed: Jun 30, 2026
This PCDOE 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 PCDOE 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.