- A
Use database flags to limit connections.
Why wrong: Database flags control behavior but do not reduce cost.
- B
Use committed use discounts.
Committed use discounts provide up to 57% discount for 1-year or 3-year commitment.
- C
Use preemptible instances.
Why wrong: Cloud SQL does not support preemptible VMs.
- D
Use a smaller machine type during off-peak hours.
Resizing to a smaller machine reduces cost during periods of low demand.
- E
Use high availability configuration.
Why wrong: HA creates a standby replica, doubling the cost.
Google PCA Practice Question: Analyze and optimize technical and business processes
This PCA practice question tests your understanding of analyze and optimize technical and business processes. 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.
Which TWO actions can reduce costs for a Cloud SQL for MySQL instance? (Choose two.)
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
Use committed use discounts.
Committed use discounts (CUDs) provide significant cost savings (up to 57%) for Cloud SQL instances when you commit to a 1- or 3-year term. Resizing to a smaller machine type during off-peak hours directly reduces compute costs by lowering the vCPU and memory allocation when demand is low, and Cloud SQL supports live instance resizing with minimal downtime.
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.
- ✗
Use database flags to limit connections.
Why it's wrong here
Database flags control behavior but do not reduce cost.
- ✓
Use committed use discounts.
Why this is correct
Committed use discounts provide up to 57% discount for 1-year or 3-year commitment.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use preemptible instances.
Why it's wrong here
Cloud SQL does not support preemptible VMs.
- ✓
Use a smaller machine type during off-peak hours.
Why this is correct
Resizing to a smaller machine reduces cost during periods of low demand.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use high availability configuration.
Why it's wrong here
HA creates a standby replica, doubling the cost.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that preemptible instances are available for managed services like Cloud SQL, when in fact they are exclusive to Compute Engine and GKE, and candidates may also confuse connection limits with cost reduction, thinking that limiting resources directly lowers the bill.
Detailed technical explanation
How to think about this question
Cloud SQL for MySQL supports live instance resize via the gcloud sql instances patch command, which triggers a brief failover or restart depending on the configuration. Committed use discounts are applied at the project level and automatically cover eligible Cloud SQL instances, but they require a prior commitment contract; the discount is applied to the vCPU and memory costs, not to storage or networking. In real-world scenarios, combining CUDs with scheduled instance downsizing (e.g., using Cloud Scheduler to trigger a smaller machine type during nights/weekends) can yield up to 70% total cost reduction.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this PCA question test?
Analyze and optimize technical and business processes — This question tests Analyze and optimize technical and business processes — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use committed use discounts. — Committed use discounts (CUDs) provide significant cost savings (up to 57%) for Cloud SQL instances when you commit to a 1- or 3-year term. Resizing to a smaller machine type during off-peak hours directly reduces compute costs by lowering the vCPU and memory allocation when demand is low, and Cloud SQL supports live instance resizing with minimal downtime.
What should I do if I get this PCA 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 PCA 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 PCA exam.
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