Cloud Run is the correct choice because it is a fully managed serverless platform that automatically scales your containerized Python web application to zero when there are no incoming requests, charging only for resources used during request processing. This "scale to zero" capability is achieved through Cloud Run’s event-driven architecture, where the underlying infrastructure spins down idle instances and reactivates them on demand, eliminating costs during periods of no traffic. On the Google Professional Cloud Developer exam, this scenario tests your understanding of serverless compute options and their scaling behaviors, often appearing as a direct comparison between Cloud Run, App Engine, and Compute Engine. A common trap is selecting App Engine Standard, which also scales to zero but requires a specific runtime environment, whereas Cloud Run offers full container portability and faster cold starts for Python apps. Memory tip: think "Run to zero" — Cloud Run is the only option that combines container flexibility with automatic scale-down to zero instances.
PCD Deploying applications Practice Question
This PCD practice question tests your understanding of deploying applications. 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 startup wants to deploy a Python web application with low traffic and minimal operational overhead. They need to automatically scale down to zero when not in use. Which compute option should they choose?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Cloud Run.
Cloud Run is the correct choice because it is a fully managed serverless platform that automatically scales your containerized application to zero when there are no incoming requests, and it charges only for the resources used during request processing. This aligns perfectly with the startup's requirements for low traffic, minimal operational overhead, and the ability to scale down to zero when not in use.
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.
✗
App Engine Standard Environment.
Why it's wrong here
App Engine Standard also scales to zero but may have language constraints; Python is supported though.
✗
Compute Engine with managed instance group and autoscaling.
Why it's wrong here
MIGs have a minimum instance count, cannot scale to zero.
✗
Google Kubernetes Engine with cluster autoscaling.
Why it's wrong here
GKE can scale to zero pods but nodes remain; cluster autoscaling can remove nodes but not to zero.
✓
Cloud Run.
Why this is correct
Cloud Run scales to zero, supports containers, and is fully managed.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that App Engine Standard Environment can scale to zero, but in reality it always maintains at least one instance, making Cloud Run the only option that truly scales to zero.
Detailed technical explanation
How to think about this question
Cloud Run uses a request-driven model where each revision is backed by a Knative serving layer that routes HTTP requests to containers. When no requests are received for a configurable period (default 15 minutes, up to 1 hour), the container instance is terminated and the revision scales to zero, releasing all allocated CPU and memory. This is achieved through the Knative Autoscaler, which uses a 'scale-to-zero' feature that is not available in App Engine Standard or Compute Engine autoscaling configurations.
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
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Deploying applications — This question tests Deploying applications — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud Run. — Cloud Run is the correct choice because it is a fully managed serverless platform that automatically scales your containerized application to zero when there are no incoming requests, and it charges only for the resources used during request processing. This aligns perfectly with the startup's requirements for low traffic, minimal operational overhead, and the ability to scale down to zero when not in use.
What should I do if I get this PCD 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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Question Discussion
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