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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 Premium Bundle
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AWS Certified Cloud Practitioner CLF-C02 Practice Test 53

Question 520

A service owner selects this control or capability: Use Amazon EC2 Auto Scaling. What evidence would show the requirement is satisfied?

  1. The deployed application gets a managed environment with supporting infrastructure.
  2. No invocation means no active function execution for that workload.
  3. The site runs on a straightforward provisioned Lightsail instance.
  4. Instance count increases or decreases with the configured demand signals.

Explanation

Correct Answer

D:

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:

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 use Amazon EC2 Auto Scaling.

B:

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 use Amazon EC2 Auto Scaling.

C:

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 Amazon EC2 Auto Scaling.

Question 521

A design review accepts the following recommendation: Run ECS tasks on EC2-backed capacity. Which technical principle supports it?

  1. Independent scaling allows each component to follow its own load profile.
  2. ECS on EC2 lets customers manage cluster hosts while using ECS scheduling.
  3. Lambda executes event-driven code without customers managing execution servers.
  4. EKS provides managed Kubernetes control plane functions for AWS workloads.

Explanation

Correct Answer

B:

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 is the rationale for use independent Auto Scaling groups or scalable service components in a different situation; the chosen action is run ECS tasks on EC2-backed capacity.

C:

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 run ECS tasks on EC2-backed capacity.

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 run ECS tasks on EC2-backed capacity.

Question 522

The cloud team has decided on this approach: Evaluate EC2 Spot Instances for interruption-tolerant capacity. Which statement explains why it satisfies the scenario?

  1. Spot capacity can be discounted but AWS may interrupt it with notice under relevant conditions.
  2. Fargate supplies serverless container compute capacity for ECS or EKS tasks.
  3. Lambda executes event-driven code without customers managing execution servers.
  4. Load balancers route incoming requests to healthy registered targets.

Explanation

Correct Answer

A:

Spot capacity can be discounted but AWS may interrupt it with notice under relevant conditions. The decision directly serves a job can be interrupted and resumed, and its owner prioritizes the lowest possible compute cost; it produces the testable result that the workload checkpoints progress and tolerates Spot interruptions.

Incorrect Answers

B:

Fargate supplies serverless container compute capacity for ECS or EKS tasks. This is the rationale for use AWS Fargate with a supported container orchestrator in a different situation; the chosen action is evaluate EC2 Spot Instances for interruption-tolerant capacity.

C:

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 evaluate EC2 Spot Instances for interruption-tolerant capacity.

D:

Load balancers route incoming requests to healthy registered targets. This is the rationale for use Elastic Load Balancing with the appropriate load balancer type in a different situation; the chosen action is evaluate EC2 Spot Instances for interruption-tolerant capacity.

Question 523

A design review accepts the following recommendation: Choose AWS Lambda for event-driven processing within its execution limits. Which technical principle supports it?

  1. Lambda handles event-based invocations and scales without always-on instances.
  2. ECS on EC2 lets customers manage cluster hosts while using ECS scheduling.
  3. ECS schedules and manages container tasks using AWS-native orchestration.
  4. Independent scaling allows each component to follow its own load profile.

Explanation

Correct Answer

A:

Lambda handles event-based invocations and scales without always-on instances. The decision directly serves a team wants compute capacity to scale from zero for sporadic small events with minimal administration; it produces the testable result that no invocation means no active function execution for that workload.

Incorrect Answers

B:

ECS on EC2 lets customers manage cluster hosts while using ECS scheduling. This is the rationale for run ECS tasks on EC2-backed capacity in a different situation; the chosen action is choose AWS Lambda for event-driven processing within its execution limits.

C:

ECS schedules and manages container tasks using AWS-native orchestration. This is the rationale for use Amazon Elastic Container Service in a different situation; the chosen action is choose AWS Lambda for event-driven processing within its execution limits.

D:

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 choose AWS Lambda for event-driven processing within its execution limits.

Question 524

An architect reviews this proposed change: A developer wants to deploy a common web application without manually configuring every load balancer and instance setting. Which approach directly satisfies the constraint?

  1. Use Amazon EC2 Auto Scaling.
  2. Use Amazon EC2 with an appropriate supported operating system.
  3. Use AWS Batch for managed job scheduling.
  4. Use AWS Elastic Beanstalk for supported application platforms.

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:

Auto Scaling groups maintain and adjust EC2 instance counts under scaling policies. It addresses a different situation: an application fleet on EC2 must automatically add instances when utilization rises; the target requires the deployed application gets a managed environment with supporting infrastructure.

B:

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 the deployed application gets a managed environment with supporting infrastructure.

C:

AWS Batch coordinates compute environments and queued batch jobs. The condition for that alternative is a team needs to provision and run a queue of batch-processing jobs based on available compute capacity; this question instead needs the deployed application gets a managed environment with supporting infrastructure.

Question 525

A project fails its cloud design review because: AWS Lambda does not provide persistent general-purpose guest OS administration. What should the team change?

  1. Use independent Auto Scaling groups or scalable service components.
  2. Choose Amazon EC2 instances.
  3. Consider Amazon Lightsail for a packaged VPS experience.
  4. Use AWS Elastic Beanstalk for supported application platforms.

Explanation

Correct Answer

B:

EC2 provides configurable virtual compute with guest operating-system responsibility. The decision directly serves a company needs complete guest OS control for a legacy application on a virtual server; it produces the testable result that the application runs on an instance whose guest OS the team manages.

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 AWS Lambda does not provide persistent general-purpose guest OS administration.

C:

Lightsail offers simplified instances and pricing suited to straightforward projects. It would instead yield the site runs on a straightforward provisioned Lightsail instance; the problem requires the application runs on an instance whose guest OS the team manages.

D:

Elastic Beanstalk orchestrates deployment environments while keeping underlying resources visible. The condition for that alternative is a developer wants to deploy a common web application without manually configuring every load balancer and instance setting; this question instead needs the application runs on an instance whose guest OS the team manages.

Question 526

A company wants to avoid unnecessary complexity while meeting this requirement: A containerized microservice should run without the team managing EC2 worker nodes. Which action should it take?

  1. Evaluate EC2 Spot Instances for interruption-tolerant capacity.
  2. Run ECS tasks on EC2-backed capacity.
  3. Use AWS Fargate with a supported container orchestrator.
  4. Use Amazon EC2 with an appropriate supported operating system.

Explanation

Correct Answer

C:

Fargate supplies serverless container compute capacity for ECS or EKS tasks. Given that a containerized microservice should run without the team managing EC2 worker nodes, success means the container runs without customer-provisioned worker instances.

Incorrect Answers

A:

Spot capacity can be discounted but AWS may interrupt it with notice under relevant conditions. Its observable effect is the workload checkpoints progress and tolerates Spot interruptions, while the intended outcome here is the container runs without customer-provisioned worker instances.

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 container runs without customer-provisioned worker instances.

D:

EC2 exposes guest OS administration needed for specialized server software. It addresses a different situation: a company needs a dedicated, long-running server process with custom kernel modules; the target requires the container runs without customer-provisioned worker instances.

Question 527

During a cloud review, this risk is identified: A web load balancer does not schedule independent batch jobs. Which change addresses the stated risk most directly?

  1. Use independent Auto Scaling groups or scalable service components.
  2. Use AWS Batch for managed job scheduling.
  3. Choose AWS Lambda for event-driven processing within its execution limits.
  4. Consider Amazon Lightsail for a packaged VPS experience.

Explanation

Correct Answer

B:

AWS Batch coordinates compute environments and queued batch jobs. It avoids the specific failure that a web load balancer does not schedule independent batch jobs, and the outcome confirms that pending compute jobs run when appropriate batch capacity is available.

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 a web load balancer does not schedule independent batch jobs.

C:

Lambda handles event-based invocations and scales without always-on instances. It addresses a different situation: a team wants compute capacity to scale from zero for sporadic small events with minimal administration; the target requires pending compute jobs run when appropriate batch capacity is available.

D:

Lightsail offers simplified instances and pricing suited to straightforward projects. The condition for that alternative is a student needs a simple bundled virtual private server for a small low-complexity website; this question instead needs pending compute jobs run when appropriate batch capacity is available.

Question 528

An AWS deployment has an avoidable issue: A customized complex EC2 environment may add operational setup to a small site. Which corrective decision is most appropriate?

  1. Use AWS Batch for managed job scheduling.
  2. Evaluate EC2 Spot Instances for interruption-tolerant capacity.
  3. Consider Amazon Lightsail for a packaged VPS experience.
  4. Use AWS Fargate with a supported container orchestrator.

Explanation

Correct Answer

C:

Lightsail offers simplified instances and pricing suited to straightforward projects. The requirement is that a student needs a simple bundled virtual private server for a small low-complexity website; the observable success condition is that the site runs on a straightforward provisioned Lightsail instance.

Incorrect Answers

A:

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 student needs a simple bundled virtual private server for a small low-complexity website.

B:

Spot capacity can be discounted but AWS may interrupt it with notice under relevant conditions. It would instead yield the workload checkpoints progress and tolerates Spot interruptions; the problem requires the site runs on a straightforward provisioned Lightsail instance.

D:

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 529

During a cloud review, this risk is identified: Committing to one fixed instance family for years before demand is known may reduce flexibility. Which change addresses the stated risk most directly?

  1. Use EC2 On-Demand Instances.
  2. Consider Amazon Lightsail for a packaged VPS experience.
  3. Use AWS Elastic Beanstalk for supported application platforms.
  4. Use Amazon Elastic Container Service.

Explanation

Correct Answer

A:

On-Demand capacity offers flexible usage pricing without required long-term instance commitment. Given that an unpredictable production workload needs EC2 capacity without an upfront commitment, success means instances run when needed and normal running charges follow usage.

Incorrect Answers

B:

Lightsail offers simplified instances and pricing suited to straightforward projects. The condition for that alternative is a student needs a simple bundled virtual private server for a small low-complexity website; this question instead needs instances run when needed and normal running charges follow usage.

C:

Elastic Beanstalk orchestrates deployment environments while keeping underlying resources visible. It would instead yield the deployed application gets a managed environment with supporting infrastructure; the problem requires instances run when needed and normal running charges follow usage.

D:

ECS schedules and manages container tasks using AWS-native orchestration. This action handles a container team uses Docker images and wants AWS-managed container orchestration without operating Kubernetes, but it does not address the observed risk that committing to one fixed instance family for years before demand is known may reduce flexibility.

Question 530

A company has chosen this AWS approach: Use EC2 On-Demand Instances. Which observation would best confirm that it met the intended requirement?

  1. Web capacity and worker capacity adjust independently to demand.
  2. The container runs without customer-provisioned worker instances.
  3. Instances run when needed and normal running charges follow usage.
  4. Containerized services deploy as ECS tasks without managing Kubernetes control-plane objects.

Explanation

Correct Answer

C:

On-Demand capacity offers flexible usage pricing without required long-term instance commitment. The decision directly serves an unpredictable production workload needs EC2 capacity without an upfront commitment; it produces the testable result that instances run when needed and normal running charges follow usage.

Incorrect Answers

A:

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 EC2 On-Demand Instances.

B:

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 use EC2 On-Demand Instances.

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 use EC2 On-Demand Instances.

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