- A
AWS Lambda
Correct. AWS Lambda is a serverless compute service that executes code in response to triggers (e.g., S3 uploads) and automatically scales based on incoming traffic. It requires no server management and charges only for the compute time used, meeting all stated requirements.
- B
Amazon EC2 Auto Scaling
Why wrong: Incorrect. EC2 Auto Scaling can automatically adjust the number of EC2 instances, but you still manage the underlying servers (OS, patches, scaling). It does not meet the 'no server management' requirement and charges for running instances even when idle.
- C
AWS Batch
Why wrong: Incorrect. AWS Batch is designed for batch computing jobs that run on a managed fleet of EC2 instances. While it can scale, it relies on instances that are provisioned in a compute environment, which may introduce idle cost and management overhead. It is not serverless like Lambda and is less suited for real-time event-driven image processing.
- D
Amazon Lightsail
Why wrong: Incorrect. Amazon Lightsail provides pre-configured virtual private servers (similar to EC2) with a simplified management interface. It still involves managing operating systems and scaling manually; it is not serverless and does not automatically handle spikes in load.
CLF-C02 Cloud Technology and Services Practice Question
This CLF-C02 practice question tests your understanding of cloud technology and services. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 media company processes user-uploaded images to generate thumbnails and metadata. The current solution runs a script on a single Amazon EC2 instance, which becomes overloaded during peak hours, causing delays. The company wants a solution that automatically scales to handle spikes in upload volume, requires no server management, and charges only for the processing time consumed. Which AWS service should the company use?
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
AWS Lambda
AWS Lambda is the correct choice because it provides a serverless compute service that automatically scales with incoming upload volume, requires no server management, and charges only for the actual processing time (in 1ms increments). The media company's need for automatic scaling, zero server management, and pay-per-use billing aligns perfectly with Lambda's event-driven architecture, where each image upload can trigger a Lambda function to generate thumbnails and metadata without provisioning or managing any underlying infrastructure.
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.
- ✓
AWS Lambda
Why this is correct
Correct. AWS Lambda is a serverless compute service that executes code in response to triggers (e.g., S3 uploads) and automatically scales based on incoming traffic. It requires no server management and charges only for the compute time used, meeting all stated requirements.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon EC2 Auto Scaling
Why it's wrong here
Incorrect. EC2 Auto Scaling can automatically adjust the number of EC2 instances, but you still manage the underlying servers (OS, patches, scaling). It does not meet the 'no server management' requirement and charges for running instances even when idle.
- ✗
AWS Batch
Why it's wrong here
Incorrect. AWS Batch is designed for batch computing jobs that run on a managed fleet of EC2 instances. While it can scale, it relies on instances that are provisioned in a compute environment, which may introduce idle cost and management overhead. It is not serverless like Lambda and is less suited for real-time event-driven image processing.
When this WOULD be correct
A company needs to run a large-scale, compute-intensive batch job (e.g., rendering 10,000 video files) that can be parallelized, and they want to manage job dependencies and retries without writing custom orchestration code. AWS Batch would be the right choice because it handles job scheduling and can automatically provision EC2 instances.
- ✗
Amazon Lightsail
Why it's wrong here
Incorrect. Amazon Lightsail provides pre-configured virtual private servers (similar to EC2) with a simplified management interface. It still involves managing operating systems and scaling manually; it is not serverless and does not automatically handle spikes in load.
When this WOULD be correct
A company needs a simple, predictable-cost virtual private server for a small web application with low traffic, and wants a pre-configured instance with a fixed monthly price, without needing to manage scaling or complex configurations.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The CLF-C02 exam frequently reuses these exact scenarios with slightly different constraints.
✓AWS LambdaCorrect answer▾
Why this is correct
Correct. AWS Lambda is a serverless compute service that executes code in response to triggers (e.g., S3 uploads) and automatically scales based on incoming traffic. It requires no server management and charges only for the compute time used, meeting all stated requirements.
✗AWS BatchWrong answer — click to see why▾
Why this is wrong here
AWS Batch is designed for batch computing jobs that require orchestration of compute resources, but it still involves managing compute environments (e.g., EC2 instances) and does not provide the serverless, automatic scaling with per-execution billing that the question requires.
★ When this WOULD be the correct answer
A company needs to run a large-scale, compute-intensive batch job (e.g., rendering 10,000 video files) that can be parallelized, and they want to manage job dependencies and retries without writing custom orchestration code. AWS Batch would be the right choice because it handles job scheduling and can automatically provision EC2 instances.
Why candidates choose this
Candidates may confuse 'batch processing' with the image processing task described, assuming AWS Batch is the go-to for any batch workload, without realizing that the requirement for serverless and per-execution billing points to AWS Lambda instead.
✗Amazon LightsailWrong answer — click to see why▾
Why this is wrong here
Amazon Lightsail requires manual scaling and server management, which does not meet the requirement for automatic scaling and no server management.
★ When this WOULD be the correct answer
A company needs a simple, predictable-cost virtual private server for a small web application with low traffic, and wants a pre-configured instance with a fixed monthly price, without needing to manage scaling or complex configurations.
Why candidates choose this
Candidates may think Lightsail is a simpler alternative to EC2 for handling workloads, but it lacks the automatic scaling and pay-per-use model required for variable processing loads.
Analysis generated from the official CLF-C02blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'auto scaling' with 'serverless' and choose Amazon EC2 Auto Scaling (Option B) because it scales, but they overlook the requirement for 'no server management' and 'pay only for processing time,' which EC2 Auto Scaling does not satisfy.
Trap categories for this question
Similar concept trap
Incorrect. Amazon Lightsail provides pre-configured virtual private servers (similar to EC2) with a simplified management interface. It still involves managing operating systems and scaling manually; it is not serverless and does not automatically handle spikes in load.
Detailed technical explanation
How to think about this question
AWS Lambda functions can be triggered directly by Amazon S3 events (e.g., s3:ObjectCreated:Put) for each uploaded image, enabling near-instantaneous thumbnail generation. Under the hood, Lambda scales horizontally by launching new execution environments (sandboxed containers) in response to concurrent invocations, with a default regional concurrency limit of 1,000 (soft limit). A subtle behavior is that Lambda functions have a maximum execution timeout of 15 minutes, which is more than sufficient for image processing tasks, but if the processing requires GPU or long-running operations, Lambda would not be suitable.
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.
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.
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FAQ
Questions learners often ask
What does this CLF-C02 question test?
Cloud Technology and Services — This question tests Cloud Technology and Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: AWS Lambda — AWS Lambda is the correct choice because it provides a serverless compute service that automatically scales with incoming upload volume, requires no server management, and charges only for the actual processing time (in 1ms increments). The media company's need for automatic scaling, zero server management, and pay-per-use billing aligns perfectly with Lambda's event-driven architecture, where each image upload can trigger a Lambda function to generate thumbnails and metadata without provisioning or managing any underlying infrastructure.
What should I do if I get this CLF-C02 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: Jun 11, 2026
This CLF-C02 practice question is part of Courseiva's free Amazon Web Services 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 CLF-C02 exam.
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