- A
Use committed use discounts (CUDs) for sustained resource usage.
CUDs provide significant cost savings (up to 57%) for predictable resource usage, lowering overall expenses.
- B
Use spot VMs with a node taint and toleration for game server pods.
Why wrong: Spot VMs can be preempted at any time, causing game interruption, and are not suitable for stateful game servers.
- C
Use node auto-provisioning to automatically add nodes based on pod resource requests.
Auto-provisioning optimizes resource usage by adding nodes only when needed, reducing waste and cost.
- D
Deploy GKE clusters in multiple regions and use a multi-cluster ingress.
Multi-region deployment reduces latency for players worldwide and improves availability.
- E
Use preemptible VMs for game server pods.
Why wrong: Preemptible VMs can be terminated within 24 hours, causing game sessions to drop, which is unacceptable for real-time multiplayer games.
Cloud Digital Leader Scaling with Google Cloud operations Practice Question
This GCDL practice question tests your understanding of scaling with google cloud operations. 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 gaming company runs a real-time multiplayer game server on Google Kubernetes Engine. They want to optimize costs while ensuring low latency for players across different regions. Which three strategies should they implement? (Choose THREE.)
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 (CUDs) for sustained resource usage.
Committed use discounts (CUDs) are ideal for sustained resource usage because they offer significant cost savings (up to 70%) in exchange for a 1- or 3-year commitment to a minimum level of compute resources. For a gaming server that runs continuously, CUDs reduce the per-hour cost of the underlying GKE nodes, directly optimizing long-term operational expenses without impacting latency.
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 (CUDs) for sustained resource usage.
Why this is correct
CUDs provide significant cost savings (up to 57%) for predictable resource usage, lowering overall expenses.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use spot VMs with a node taint and toleration for game server pods.
Why it's wrong here
Spot VMs can be preempted at any time, causing game interruption, and are not suitable for stateful game servers.
- ✓
Use node auto-provisioning to automatically add nodes based on pod resource requests.
Why this is correct
Auto-provisioning optimizes resource usage by adding nodes only when needed, reducing waste and cost.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Deploy GKE clusters in multiple regions and use a multi-cluster ingress.
Why this is correct
Multi-region deployment reduces latency for players worldwide and improves availability.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use preemptible VMs for game server pods.
Why it's wrong here
Preemptible VMs can be terminated within 24 hours, causing game sessions to drop, which is unacceptable for real-time multiplayer games.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that spot/preemptible VMs are acceptable for stateful, latency-sensitive workloads because they are cheaper, but the exam expects you to recognize that their unpredictable termination makes them unsuitable for real-time multiplayer game servers.
Detailed technical explanation
How to think about this question
Node auto-provisioning (option C) dynamically creates node pools based on pending pod resource requests, using the cluster autoscaler to match capacity with demand; this avoids over-provisioning and reduces idle costs. Multi-cluster ingress (option D) leverages Google Cloud's global external HTTP(S) load balancer to route traffic to the nearest GKE cluster based on the client's geographic location, minimizing latency by serving players from the closest region. Under the hood, multi-cluster ingress uses Kubernetes custom resources (MulticlusterIngress and MulticlusterService) and requires each cluster to be registered in a fleet, with health checks ensuring traffic is sent only to healthy backends.
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 GCDL question test?
Scaling with Google Cloud operations — This question tests Scaling with Google Cloud operations — 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 (CUDs) for sustained resource usage. — Committed use discounts (CUDs) are ideal for sustained resource usage because they offer significant cost savings (up to 70%) in exchange for a 1- or 3-year commitment to a minimum level of compute resources. For a gaming server that runs continuously, CUDs reduce the per-hour cost of the underlying GKE nodes, directly optimizing long-term operational expenses without impacting latency.
What should I do if I get this GCDL 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.
About these practice questions
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Last reviewed: Jun 30, 2026
This GCDL 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 GCDL exam.
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