← CLF-C02·Amazon Web Services

Question 748 of 1,024

Cloud Technology and Services →mediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is Amazon ECS with the AWS Fargate launch type. This is correct because Fargate is a serverless compute engine that allows you to run containerized microservices without managing any servers or the container orchestration control plane; you simply define your tasks and pay only for the vCPU and memory your containers consume at the task level, with no need to provision or scale EC2 instances. On the AWS Certified Cloud Practitioner CLF-C02 exam, this question tests your understanding of the serverless versus managed compute distinction—a common trap is confusing Fargate with Amazon ECS using EC2 launch type, which still requires you to manage the underlying instances. A key memory tip is to associate “Fargate” with “no servers to manage” and “pay per task,” while “EC2 launch type” means you manage the cluster.

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 development team wants to deploy a containerized microservices application on AWS. The team wants to minimize operational overhead by not managing any servers or container orchestration control plane. They also want to pay only for the compute and memory resources their containers consume, without needing to provision or scale underlying infrastructure. Which AWS compute service should the team use?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

Question 1mediummultiple choice

Full question →

A
Amazon EC2 with Amazon ECS using the EC2 launch type
Why wrong: With the EC2 launch type, you manage a cluster of EC2 instances that host your containers. You are responsible for patching, scaling, and capacity planning of these instances, which does not meet the requirement to avoid managing servers.
B
AWS Elastic Beanstalk with a Docker platform
Why wrong: Elastic Beanstalk abstracts some infrastructure management but still runs your Docker containers on EC2 instances that you pay for even when idle. It does not provide serverless container pricing and still involves managing the underlying instances (though automated).
C
Amazon ECS with the AWS Fargate launch type
Fargate is a serverless compute engine for containers. You define your task definitions, and Fargate runs the containers on shared, AWS-managed infrastructure. No servers to manage, and you pay only for the vCPU and memory resources consumed by your running tasks.
D
AWS Lambda
Why wrong: Lambda is designed for running code in response to events, not for hosting containerized microservices. While Lambda now supports packaging code as container images, it is optimized for short-running, event-driven functions, not long-running microservices with features like service discovery and health checks.

Full breakdown with real-world context →

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

✓

Amazon ECS with the AWS Fargate launch type

Amazon ECS with the AWS Fargate launch type is the correct choice because Fargate is a serverless compute engine that removes the need to manage servers or the container orchestration control plane. With Fargate, you define your containerized microservices and pay only for the vCPU and memory resources consumed at the task level, without provisioning or scaling underlying EC2 instances. This directly meets the team's requirement for zero operational overhead and pay-per-consumption billing.

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.

✗
Amazon EC2 with Amazon ECS using the EC2 launch type
Why it's wrong here
With the EC2 launch type, you manage a cluster of EC2 instances that host your containers. You are responsible for patching, scaling, and capacity planning of these instances, which does not meet the requirement to avoid managing servers.
✗
AWS Elastic Beanstalk with a Docker platform
Why it's wrong here
Elastic Beanstalk abstracts some infrastructure management but still runs your Docker containers on EC2 instances that you pay for even when idle. It does not provide serverless container pricing and still involves managing the underlying instances (though automated).
✓
Amazon ECS with the AWS Fargate launch type
Why this is correct
Fargate is a serverless compute engine for containers. You define your task definitions, and Fargate runs the containers on shared, AWS-managed infrastructure. No servers to manage, and you pay only for the vCPU and memory resources consumed by your running tasks.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
AWS Lambda
Why it's wrong here
Lambda is designed for running code in response to events, not for hosting containerized microservices. While Lambda now supports packaging code as container images, it is optimized for short-running, event-driven functions, not long-running microservices with features like service discovery and health checks.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse AWS Fargate with AWS Lambda, assuming both are 'serverless' for containers, but Lambda is for functions with strict execution limits and runtime constraints, while Fargate is the true serverless compute engine for containers that supports long-running processes and full Docker images.

Detailed technical explanation

How to think about this question

Under the hood, AWS Fargate abstracts the underlying EC2 infrastructure by using a dedicated Nitro hypervisor-based isolation layer that allocates vCPU and memory per task, enabling true pay-per-use billing at the container level. A subtle behavior to note is that Fargate tasks have a maximum of 16 vCPUs and 120 GB of memory per task, and they cannot use GPU or instance store volumes, which can be a limitation for certain workloads. In a real-world scenario, a team running a stateless microservice with variable traffic would benefit from Fargate's automatic scaling and lack of patching duties, whereas a stateful application requiring persistent storage would need to attach EFS volumes or use a sidecar pattern.

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.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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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: Amazon ECS with the AWS Fargate launch type — Amazon ECS with the AWS Fargate launch type is the correct choice because Fargate is a serverless compute engine that removes the need to manage servers or the container orchestration control plane. With Fargate, you define your containerized microservices and pay only for the vCPU and memory resources consumed at the task level, without provisioning or scaling underlying EC2 instances. This directly meets the team's requirement for zero operational overhead and pay-per-consumption billing.

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.

Are there clue words in this question I should notice?

Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Same concept, more angles

2 more ways this is tested on CLF-C02

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A company wants to run containerized applications without managing the underlying EC2 instances or clusters. Which AWS service enables this?

medium

A.Amazon EC2 with Docker installed
B.Amazon ECS on EC2
✓ C.AWS Fargate
D.AWS Lambda

Why C: AWS Fargate is a serverless compute engine for containers that allows you to run containerized applications without managing the underlying EC2 instances or clusters. You define your task definitions and Fargate automatically provisions and scales the compute infrastructure, abstracting away the need to handle instance patching, capacity planning, or cluster management.

Variation 2. Which AWS service enables you to run containerized applications without managing the underlying servers?

easy

A.Amazon EC2 with Docker
✓ B.AWS Fargate
C.AWS Lambda
D.Amazon EKS on EC2

Why B: AWS Fargate is a serverless compute engine for containers that allows you to run containers without managing the underlying servers or clusters. You define your container images, CPU, memory, and networking, and Fargate automatically handles the infrastructure, including patching and scaling.

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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.