This PCA practice question tests your understanding of manage implementation of cloud architecture. 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.
What are two best practices for designing a scalable Kubernetes architecture on GKE?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Use StatefulSets for stateless applications
Why wrong: StatefulSets are for stateful apps.
Disable Cluster Autoscaler
Why wrong: Autoscaler is needed for scaling nodes.
Enable horizontal pod autoscaling
Auto-scales pods based on metrics.
Use node pools with different machine types
Optimizes resource usage and scaling.
Use a single zone cluster
Why wrong: Not scalable; use multi-zonal or regional.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Enable horizontal pod autoscaling
Option C is correct because Horizontal Pod Autoscaler (HPA) automatically scales the number of pod replicas based on observed CPU/memory utilization or custom metrics, which is essential for handling variable workloads in a scalable Kubernetes architecture on GKE. HPA works by querying the Metrics Server and adjusting the `replicas` field in the Deployment or StatefulSet, ensuring efficient resource usage without manual intervention.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Use StatefulSets for stateless applications
Why it's wrong here
StatefulSets are for stateful apps.
Disable Cluster Autoscaler
Why it's wrong here
Autoscaler is needed for scaling nodes.
Enable horizontal pod autoscaling
Why this is correct
Auto-scales pods based on metrics.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Use node pools with different machine types
Why this is correct
Optimizes resource usage and scaling.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Use a single zone cluster
Why it's wrong here
Not scalable; use multi-zonal or regional.
Common exam traps
Google Cloud often tests the misconception that StatefulSets are interchangeable with Deployments for stateless apps, or that disabling Cluster Autoscaler simplifies management, but the trap here is that candidates may overlook the need for multi-zonal clusters and autoscaling mechanisms to achieve true scalability and resilience in GKE.
Detailed technical explanation
Under the hood, HPA uses the `metrics.k8s.io` API (backed by Metrics Server) to collect resource usage, and it calculates the desired replica count using the formula `desiredReplicas = ceil[currentReplicas * (currentMetricValue / targetMetricValue)]`. In GKE, Cluster Autoscaler integrates with the Compute Engine API to add or remove nodes from node pools, and it respects PodDisruptionBudgets to avoid disrupting critical workloads during scale-down. A real-world scenario: during a flash sale, HPA can scale pods from 5 to 500 within minutes, and Cluster Autoscaler will automatically provision additional nodes to accommodate the new pods, preventing resource contention.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Manage implementation of cloud architecture — study guide chapter
Learn the concepts, then practise the questions
Manage implementation of cloud architecture practice questions
Targeted practice on this topic area only
All PCA questions
509 questions across all exam domains
Google Professional Cloud Architect study guide
Full concept coverage aligned to exam objectives
PCA practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise PCA questions linked to Design and plan a cloud solution architecture.
Practise PCA questions linked to Manage and provision cloud infrastructure.
Practise PCA questions linked to Design for security and compliance.
Practise PCA questions linked to Analyze and optimize technical and business processes.
Practise PCA questions linked to Manage implementation of cloud architecture.
Practise PCA questions linked to Ensure solution and operations reliability.
Practise PCA questions linked to PCA fundamentals.
Practise PCA questions linked to PCA scenario.
Practise PCA questions linked to PCA troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Manage implementation of cloud architecture — This question tests Manage implementation of cloud architecture — Read the scenario before looking for a memorised answer..
The correct answer is: Enable horizontal pod autoscaling — Option C is correct because Horizontal Pod Autoscaler (HPA) automatically scales the number of pod replicas based on observed CPU/memory utilization or custom metrics, which is essential for handling variable workloads in a scalable Kubernetes architecture on GKE. HPA works by querying the Metrics Server and adjusting the `replicas` field in the Deployment or StatefulSet, ensuring efficient resource usage without manual intervention.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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 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.
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.