- A
Use committed use discounts with a 3-year term on all nodes.
Why wrong: Committed use discounts require long-term commitment, not suitable for variable traffic patterns.
- B
Use GKE Autopilot with a single node pool.
Why wrong: Autopilot manages nodes but does not inherently optimize cost for variable traffic compared to preemptible nodes.
- C
Use a regional cluster with node pools of different machine types.
Why wrong: Regional clusters provide high availability but increase cost due to multi-zone replication.
- D
Use node auto-provisioning with preemptible nodes.
Node auto-provisioning dynamically creates node pools and preemptible nodes lower cost.
Question 530 of 1,000
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.
A company is deploying a microservices application on Google Kubernetes Engine (GKE). They want to optimize costs without sacrificing availability. They have varying traffic patterns. Which strategy should they recommend?
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 node auto-provisioning with preemptible nodes.
Option D is correct because node auto-provisioning with preemptible nodes allows the cluster to automatically scale and use low-cost, short-lived instances for fault-tolerant workloads. Preemptible nodes are up to 60-91% cheaper than regular instances, and node auto-provisioning ensures that only the required node types are created, optimizing cost without sacrificing availability for stateless microservices that can handle interruptions.
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 committed use discounts with a 3-year term on all nodes.
Why it's wrong here
Committed use discounts require long-term commitment, not suitable for variable traffic patterns.
- ✗
Use GKE Autopilot with a single node pool.
Why it's wrong here
Autopilot manages nodes but does not inherently optimize cost for variable traffic compared to preemptible nodes.
- ✗
Use a regional cluster with node pools of different machine types.
Why it's wrong here
Regional clusters provide high availability but increase cost due to multi-zone replication.
- ✓
Use node auto-provisioning with preemptible nodes.
Why this is correct
Node auto-provisioning dynamically creates node pools and preemptible nodes lower cost.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
This question tests the common misconception that committed use discounts (CUDs) are always the best cost-saving strategy. The trap is that CUDs require a 1- or 3-year commitment and lack flexibility for varying traffic patterns. Node auto-provisioning with preemptible nodes provides dynamic cost optimization by scaling resources up and down automatically and using short-lived, low-cost instances suitable for fault-tolerant microservices.
Detailed technical explanation
How to think about this question
Node auto-provisioning in GKE automatically creates and deletes node pools based on pending pod resource requests, using the Cluster Autoscaler to scale nodes up and down. Preemptible nodes are Compute Engine instances that last a maximum of 24 hours and can be terminated at any time, making them ideal for batch jobs or stateless microservices that can be rescheduled; they are not covered by any SLA, so availability must be handled at the application layer through retries and pod disruption budgets. In practice, combining node auto-provisioning with preemptible nodes allows the cluster to dynamically spin up cheap nodes for spike traffic and scale down when demand drops, while a small baseline of regular nodes can handle critical, stateful components.
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
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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 node auto-provisioning with preemptible nodes. — Option D is correct because node auto-provisioning with preemptible nodes allows the cluster to automatically scale and use low-cost, short-lived instances for fault-tolerant workloads. Preemptible nodes are up to 60-91% cheaper than regular instances, and node auto-provisioning ensures that only the required node types are created, optimizing cost without sacrificing availability for stateless microservices that can handle interruptions.
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: Jul 4, 2026
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