- A
Implement caching with Memorystore for Redis
Caching frequently read data in memory drastically reduces database load and latency.
- B
Increase Cloud SQL machine size
Why wrong: Vertical scaling helps but does not eliminate repeated database reads.
- C
Add a read replica
Why wrong: Read replicas distribute read load but still require database I/O and network latency.
- D
Use Cloud Spanner for higher throughput
Why wrong: Cloud Spanner is scalable but complex and expensive for simple reference data.
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 web application frequently reads the same set of reference data from Cloud SQL. This causes high database load and slow responses. Which design change would most improve performance?
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
Implement caching with Memorystore for Redis
Implementing caching with Memorystore reduces database load by serving repeated reads from memory, which is faster than SQL queries. Increasing machine size or adding read replicas helps but still involves database I/O; Cloud Spanner is overkill for reference data.
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 caching with Memorystore for Redis
Why this is correct
Caching frequently read data in memory drastically reduces database load and latency.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase Cloud SQL machine size
Why it's wrong here
Vertical scaling helps but does not eliminate repeated database reads.
- ✗
Add a read replica
Why it's wrong here
Read replicas distribute read load but still require database I/O and network latency.
- ✗
Use Cloud Spanner for higher throughput
Why it's wrong here
Cloud Spanner is scalable but complex and expensive for simple reference data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 PCDOE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Optimizing service performance — study guide chapter
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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: Implement caching with Memorystore for Redis — Implementing caching with Memorystore reduces database load by serving repeated reads from memory, which is faster than SQL queries. Increasing machine size or adding read replicas helps but still involves database I/O; Cloud Spanner is overkill for reference data.
What should I do if I get this PCDOE question wrong?
Identify which PCDOE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 24, 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.
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