- A
Cloud Storage.
Why wrong: Object storage service, not compute.
- B
Google Kubernetes Engine.
Why wrong: Requires cluster management, not fully serverless.
- C
Cloud Functions.
Fully managed, event-driven serverless compute.
- D
Compute Engine with managed instance groups.
Why wrong: Requires server management, not serverless.
- E
Cloud Run.
Fully managed container runtime that scales to zero.
Question 841 of 999
Google Cloud Serverless: Cloud Functions and Cloud Run for Auto-Scaling
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.
Which TWO Google Cloud services are suitable for deploying serverless applications that scale automatically based on demand?
Quick Answer
The answer is Cloud Functions and Cloud Run. These two Google Cloud services are suitable for deploying serverless applications that scale automatically based on demand because they abstract infrastructure management entirely—Cloud Functions executes event-driven code in stateless ephemeral containers, while Cloud Run runs containerized applications on a fully managed platform that scales from zero to thousands of instances based on incoming traffic. On the Google Professional Cloud Developer exam, this question tests your ability to distinguish truly serverless compute from managed infrastructure: Compute Engine and GKE require explicit scaling configuration and cluster oversight, making them common traps. A reliable memory tip is “Functions for events, Run for containers—both scale to zero, neither needs a server to tend.”
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
✓
Cloud Functions.
Cloud Functions (option C) is a serverless execution environment that automatically scales instances from zero to thousands in response to event triggers, such as HTTP requests or Cloud Pub/Sub messages, without requiring any infrastructure management. Cloud Run (option E) is a managed compute platform that runs stateless containers in a fully serverless manner, scaling each revision automatically based on incoming request concurrency (up to 80 concurrent requests per container instance by default). Both services abstract away underlying servers and scale to zero when idle, making them ideal for serverless applications.
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.
- ✗
Cloud Storage.
Why it's wrong here
Object storage service, not compute.
- ✗
Google Kubernetes Engine.
Why it's wrong here
Requires cluster management, not fully serverless.
- ✓
Cloud Functions.
Why this is correct
Fully managed, event-driven serverless compute.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Compute Engine with managed instance groups.
Why it's wrong here
Requires server management, not serverless.
- ✓
Cloud Run.
Why this is correct
Fully managed container runtime that scales to zero.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap is that any autoscaling service might be mistaken for serverless, but Compute Engine with managed instance groups (option D) autoscales yet still requires managing underlying VMs, making it IaaS, not serverless.
Detailed technical explanation
How to think about this question
Cloud Functions uses a per-instance concurrency model (default 1 for 1st gen, configurable for 2nd gen) and scales by creating new function instances, each with a cold start latency of ~100ms to 1s depending on runtime. Cloud Run leverages Knative serving to automatically adjust the number of container instances based on the number of concurrent requests, with a maximum of 250 instances per revision by default, and supports request-based billing in 100ms increments. A real-world scenario: a photo-processing app using Cloud Functions triggered by Cloud Storage uploads can handle sudden spikes in user uploads without provisioning servers, while Cloud Run can serve a web API that scales down to zero during off-peak hours, reducing costs.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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 — study guide chapter
Learn the concepts, then practise the questions
- →
Deploying applications practice questions
Targeted practice on this topic area only
- →
All PCD questions
999 questions across all exam domains
- →
Google Professional Cloud Developer study guide
Full concept coverage aligned to exam objectives
- →
PCD practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related PCD practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Manage a Solution that Can Span Multiple Database Systems practice questions
Practise PCD questions linked to Manage a Solution that Can Span Multiple Database Systems.
Deploy Scalable and Highly Available Databases in Google Cloud practice questions
Practise PCD questions linked to Deploy Scalable and Highly Available Databases in Google Cloud.
Design Scalable and Highly Available Cloud Database Solutions practice questions
Practise PCD questions linked to Design Scalable and Highly Available Cloud Database Solutions.
Migrate Data Solutions practice questions
Practise PCD questions linked to Migrate Data Solutions.
Designing highly scalable, available, and reliable cloud-native applications practice questions
Practise PCD questions linked to Designing highly scalable, available, and reliable cloud-native applications.
Building and testing applications practice questions
Practise PCD questions linked to Building and testing applications.
Deploying applications practice questions
Practise PCD questions linked to Deploying applications.
Integrating Google Cloud services practice questions
Practise PCD questions linked to Integrating Google Cloud services.
Managing application performance monitoring practice questions
Practise PCD questions linked to Managing application performance monitoring.
PCD fundamentals practice questions
Practise PCD questions linked to PCD fundamentals.
PCD scenario practice questions
Practise PCD questions linked to PCD scenario.
PCD troubleshooting practice questions
Practise PCD questions linked to PCD troubleshooting.
Practice this exam
Start a free PCD practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this PCD question test?
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 Functions. — Cloud Functions (option C) is a serverless execution environment that automatically scales instances from zero to thousands in response to event triggers, such as HTTP requests or Cloud Pub/Sub messages, without requiring any infrastructure management. Cloud Run (option E) is a managed compute platform that runs stateless containers in a fully serverless manner, scaling each revision automatically based on incoming request concurrency (up to 80 concurrent requests per container instance by default). Both services abstract away underlying servers and scale to zero when idle, making them ideal for serverless applications.
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.
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 →
Keep practising
More PCD practice questions
- A company is deploying a microservices architecture on GKE. They need to expose a set of related microservices under a s…
- You need to monitor the CPU usage of a Compute Engine instance and trigger an alert when it exceeds 80% for 5 minutes. W…
- A Cloud Bigtable instance has a single cluster. To improve availability and read throughput, the team decides to add a s…
- A developer wants to enable IAM database authentication for Cloud SQL for PostgreSQL. Which IAM role must be granted to…
- A company is using Cloud Bigtable for a time-series workload. They want to monitor performance and identify hot spots. W…
- A company wants to run hybrid transactional/analytical processing (HTAP) workloads on a PostgreSQL-compatible database w…
Last reviewed: Jul 4, 2026
This PCD 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 PCD 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.