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Exam Code: AWS Certified Cloud Practitioner CLF-C02
Exam Name: AWS Certified Cloud Practitioner CLF-C02
Certification Provider: Amazon
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AWS Certified Cloud Practitioner CLF-C02 Practice Test 51

Question 500

The cloud team implements the following change: Use AWS Elastic Beanstalk for supported application platforms. Which outcome is the strongest acceptance evidence?

  1. The application runs on an instance whose guest OS the team manages.
  2. Web capacity and worker capacity adjust independently to demand.
  3. Containers are scheduled on EC2 instances maintained by the team.
  4. The deployed application gets a managed environment with supporting infrastructure.

Explanation

Correct Answer

D:

Elastic Beanstalk orchestrates deployment environments while keeping underlying resources visible. The decision directly serves a developer wants to deploy a common web application without manually configuring every load balancer and instance setting; it produces the testable result that the deployed application gets a managed environment with supporting infrastructure.

Incorrect Answers

A:

EC2 provides configurable virtual compute with guest operating-system responsibility. That result validates choose Amazon EC2 instances, rather than the stated decision to use AWS Elastic Beanstalk for supported application platforms.

B:

Independent scaling allows each component to follow its own load profile. That result validates use independent Auto Scaling groups or scalable service components, rather than the stated decision to use AWS Elastic Beanstalk for supported application platforms.

C:

ECS on EC2 lets customers manage cluster hosts while using ECS scheduling. That result validates run ECS tasks on EC2-backed capacity, rather than the stated decision to use AWS Elastic Beanstalk for supported application platforms.

Question 501

A company needs a targeted remedy for this cloud problem: Adding more unbalanced instances does not itself distribute client traffic. Which proposed action is best?

  1. Use Amazon EC2 with an appropriate supported operating system.
  2. Use Elastic Load Balancing with the appropriate load balancer type.
  3. Evaluate EC2 Spot Instances for interruption-tolerant capacity.
  4. Use AWS Fargate with a supported container orchestrator.

Explanation

Correct Answer

B:

Load balancers route incoming requests to healthy registered targets. The requirement is that a web service has several healthy back-end instances and needs traffic distributed across them; the observable success condition is that requests are directed among available healthy service targets.

Incorrect Answers

A:

EC2 exposes guest OS administration needed for specialized server software. Its observable effect is the custom host process runs under a customer-managed guest OS, while the intended outcome here is requests are directed among available healthy service targets.

C:

Spot capacity can be discounted but AWS may interrupt it with notice under relevant conditions. That approach would be appropriate when a job can be interrupted and resumed, and its owner prioritizes the lowest possible compute cost, not for the current constraint: a web service has several healthy back-end instances and needs traffic distributed across them.

D:

Fargate supplies serverless container compute capacity for ECS or EKS tasks. It addresses a different situation: a containerized microservice should run without the team managing EC2 worker nodes; the target requires requests are directed among available healthy service targets.

Question 502

The operations team reports a mismatch between the requirement and actual behavior: Fargate abstracts hosts and is less suited to scenarios requiring direct worker-host control. Which action corrects it?

  1. Use independent Auto Scaling groups or scalable service components.
  2. Use Amazon Elastic Kubernetes Service.
  3. Run ECS tasks on EC2-backed capacity.
  4. Use AWS Fargate with a supported container orchestrator.

Explanation

Correct Answer

C:

ECS on EC2 lets customers manage cluster hosts while using ECS scheduling. Given that a development organization runs container microservices and wants tight control of EC2 placement and daemon-level tools, success means containers are scheduled on EC2 instances maintained by the team.

Incorrect Answers

A:

Independent scaling allows each component to follow its own load profile. This action handles a service needs separate web and worker capacity that responds to different utilization metrics, but it does not address the observed risk that fargate abstracts hosts and is less suited to scenarios requiring direct worker-host control.

B:

EKS provides managed Kubernetes control plane functions for AWS workloads. It would instead yield existing Kubernetes tooling deploys workloads to an EKS cluster; the problem requires containers are scheduled on EC2 instances maintained by the team.

D:

Fargate supplies serverless container compute capacity for ECS or EKS tasks. The condition for that alternative is a containerized microservice should run without the team managing EC2 worker nodes; this question instead needs containers are scheduled on EC2 instances maintained by the team.

Question 503

During a cloud review, this risk is identified: AWS Lambda does not expose a persistent custom kernel environment. Which change addresses the stated risk most directly?

  1. Use Amazon EC2 with an appropriate supported operating system.
  2. Use AWS Batch for managed job scheduling.
  3. Use Amazon Elastic Container Service.
  4. Use AWS Lambda functions.

Explanation

Correct Answer

A:

EC2 exposes guest OS administration needed for specialized server software. The decision directly serves a company needs a dedicated, long-running server process with custom kernel modules; it produces the testable result that the custom host process runs under a customer-managed guest OS.

Incorrect Answers

B:

AWS Batch coordinates compute environments and queued batch jobs. That approach would be appropriate when a team needs to provision and run a queue of batch-processing jobs based on available compute capacity, not for the current constraint: a company needs a dedicated, long-running server process with custom kernel modules.

C:

ECS schedules and manages container tasks using AWS-native orchestration. It would instead yield containerized services deploy as ECS tasks without managing Kubernetes control-plane objects; the problem requires the custom host process runs under a customer-managed guest OS.

D:

Lambda executes event-driven code without customers managing execution servers. Its observable effect is a request triggers the function without dedicated always-on application hosts, while the intended outcome here is the custom host process runs under a customer-managed guest OS.

Question 504

An architect reviews this proposed change: A student needs a simple bundled virtual private server for a small low-complexity website. Which approach directly satisfies the constraint?

  1. Use AWS Lambda functions.
  2. Run ECS tasks on EC2-backed capacity.
  3. Use AWS Fargate with a supported container orchestrator.
  4. Consider Amazon Lightsail for a packaged VPS experience.

Explanation

Correct Answer

D:

Lightsail offers simplified instances and pricing suited to straightforward projects. The decision directly serves a student needs a simple bundled virtual private server for a small low-complexity website; it produces the testable result that the site runs on a straightforward provisioned Lightsail instance.

Incorrect Answers

A:

Lambda executes event-driven code without customers managing execution servers. It would instead yield a request triggers the function without dedicated always-on application hosts; the problem requires the site runs on a straightforward provisioned Lightsail instance.

B:

ECS on EC2 lets customers manage cluster hosts while using ECS scheduling. The condition for that alternative is a development organization runs container microservices and wants tight control of EC2 placement and daemon-level tools; this question instead needs the site runs on a straightforward provisioned Lightsail instance.

C:

Fargate supplies serverless container compute capacity for ECS or EKS tasks. This action handles a containerized microservice should run without the team managing EC2 worker nodes, but it does not address the observed risk that a customized complex EC2 environment may add operational setup to a small site.

Question 505

A company has chosen this AWS approach: Run ECS tasks on EC2-backed capacity. Which observation would best confirm that it met the intended requirement?

  1. Containers are scheduled on EC2 instances maintained by the team.
  2. The deployed application gets a managed environment with supporting infrastructure.
  3. No invocation means no active function execution for that workload.
  4. Containerized services deploy as ECS tasks without managing Kubernetes control-plane objects.

Explanation

Correct Answer

A:

ECS on EC2 lets customers manage cluster hosts while using ECS scheduling. The decision directly serves a development organization runs container microservices and wants tight control of EC2 placement and daemon-level tools; it produces the testable result that containers are scheduled on EC2 instances maintained by the team.

Incorrect Answers

B:

Elastic Beanstalk orchestrates deployment environments while keeping underlying resources visible. That result validates use AWS Elastic Beanstalk for supported application platforms, rather than the stated decision to run ECS tasks on EC2-backed capacity.

C:

Lambda handles event-based invocations and scales without always-on instances. That result validates choose AWS Lambda for event-driven processing within its execution limits, rather than the stated decision to run ECS tasks on EC2-backed capacity.

D:

ECS schedules and manages container tasks using AWS-native orchestration. That result validates use Amazon Elastic Container Service, rather than the stated decision to run ECS tasks on EC2-backed capacity.

Question 506

A company has chosen this AWS approach: Use AWS Lambda functions. Which observation would best confirm that it met the intended requirement?

  1. The site runs on a straightforward provisioned Lightsail instance.
  2. The application runs on an instance whose guest OS the team manages.
  3. Containers are scheduled on EC2 instances maintained by the team.
  4. A request triggers the function without dedicated always-on application hosts.

Explanation

Correct Answer

D:

Lambda executes event-driven code without customers managing execution servers. Given that a web API executes short stateless handlers only when events occur and the team wants no server provisioning, success means a request triggers the function without dedicated always-on application hosts.

Incorrect Answers

A:

Lightsail offers simplified instances and pricing suited to straightforward projects. That result validates consider Amazon Lightsail for a packaged VPS experience, rather than the stated decision to use AWS Lambda functions.

B:

EC2 provides configurable virtual compute with guest operating-system responsibility. That result validates choose Amazon EC2 instances, rather than the stated decision to use AWS Lambda functions.

C:

ECS on EC2 lets customers manage cluster hosts while using ECS scheduling. That result validates run ECS tasks on EC2-backed capacity, rather than the stated decision to use AWS Lambda functions.

Question 507

A project owner states the following business and technical constraint: A web service has several healthy back-end instances and needs traffic distributed across them. Which response fits?

  1. Choose Amazon EC2 instances.
  2. Use AWS Batch for managed job scheduling.
  3. Use Amazon EC2 with an appropriate supported operating system.
  4. Use Elastic Load Balancing with the appropriate load balancer type.

Explanation

Correct Answer

D:

Load balancers route incoming requests to healthy registered targets. Given that a web service has several healthy back-end instances and needs traffic distributed across them, success means requests are directed among available healthy service targets.

Incorrect Answers

A:

EC2 provides configurable virtual compute with guest operating-system responsibility. It would instead yield the application runs on an instance whose guest OS the team manages; the problem requires requests are directed among available healthy service targets.

B:

AWS Batch coordinates compute environments and queued batch jobs. Its observable effect is pending compute jobs run when appropriate batch capacity is available, while the intended outcome here is requests are directed among available healthy service targets.

C:

EC2 exposes guest OS administration needed for specialized server software. That approach would be appropriate when a company needs a dedicated, long-running server process with custom kernel modules, not for the current constraint: a web service has several healthy back-end instances and needs traffic distributed across them.

Question 508

The cloud team has decided on this approach: Use Amazon Elastic Kubernetes Service. Which statement explains why it satisfies the scenario?

  1. EC2 provides configurable virtual compute with guest operating-system responsibility.
  2. EKS provides managed Kubernetes control plane functions for AWS workloads.
  3. Independent scaling allows each component to follow its own load profile.
  4. Auto Scaling groups maintain and adjust EC2 instance counts under scaling policies.

Explanation

Correct Answer

B:

EKS provides managed Kubernetes control plane functions for AWS workloads. The decision directly serves a company standardizes on Kubernetes APIs and wants a managed Kubernetes control plane; it produces the testable result that existing Kubernetes tooling deploys workloads to an EKS cluster.

Incorrect Answers

A:

EC2 provides configurable virtual compute with guest operating-system responsibility. This is the rationale for choose Amazon EC2 instances in a different situation; the chosen action is use Amazon Elastic Kubernetes Service.

C:

Independent scaling allows each component to follow its own load profile. This is the rationale for use independent Auto Scaling groups or scalable service components in a different situation; the chosen action is use Amazon Elastic Kubernetes Service.

D:

Auto Scaling groups maintain and adjust EC2 instance counts under scaling policies. This is the rationale for use Amazon EC2 Auto Scaling in a different situation; the chosen action is use Amazon Elastic Kubernetes Service.

Question 509

An AWS solution uses this decision: Use Amazon EC2 Auto Scaling. What underlying property makes this approach appropriate?

  1. Lightsail offers simplified instances and pricing suited to straightforward projects.
  2. Lambda executes event-driven code without customers managing execution servers.
  3. Auto Scaling groups maintain and adjust EC2 instance counts under scaling policies.
  4. EKS provides managed Kubernetes control plane functions for AWS workloads.

Explanation

Correct Answer

C:

Auto Scaling groups maintain and adjust EC2 instance counts under scaling policies. It avoids the specific failure that manually resizing one server does not automate horizontal fleet capacity, and the outcome confirms that instance count increases or decreases with the configured demand signals.

Incorrect Answers

A:

Lightsail offers simplified instances and pricing suited to straightforward projects. This is the rationale for consider Amazon Lightsail for a packaged VPS experience in a different situation; the chosen action is use Amazon EC2 Auto Scaling.

B:

Lambda executes event-driven code without customers managing execution servers. This is the rationale for use AWS Lambda functions in a different situation; the chosen action is use Amazon EC2 Auto Scaling.

D:

EKS provides managed Kubernetes control plane functions for AWS workloads. This is the rationale for use Amazon Elastic Kubernetes Service in a different situation; the chosen action is use Amazon EC2 Auto Scaling.

Question 510

The cloud team implements the following change: Evaluate EC2 Spot Instances for interruption-tolerant capacity. Which outcome is the strongest acceptance evidence?

  1. A request triggers the function without dedicated always-on application hosts.
  2. Pending compute jobs run when appropriate batch capacity is available.
  3. The workload checkpoints progress and tolerates Spot interruptions.
  4. The container runs without customer-provisioned worker instances.

Explanation

Correct Answer

C:

Spot capacity can be discounted but AWS may interrupt it with notice under relevant conditions. Given that a job can be interrupted and resumed, and its owner prioritizes the lowest possible compute cost, success means the workload checkpoints progress and tolerates Spot interruptions.

Incorrect Answers

A:

Lambda executes event-driven code without customers managing execution servers. That result validates use AWS Lambda functions, rather than the stated decision to evaluate EC2 Spot Instances for interruption-tolerant capacity.

B:

AWS Batch coordinates compute environments and queued batch jobs. That result validates use AWS Batch for managed job scheduling, rather than the stated decision to evaluate EC2 Spot Instances for interruption-tolerant capacity.

D:

Fargate supplies serverless container compute capacity for ECS or EKS tasks. That result validates use AWS Fargate with a supported container orchestrator, rather than the stated decision to evaluate EC2 Spot Instances for interruption-tolerant capacity.

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