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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 3

Question 20

During a cloud review, this risk is identified: One unreplicated disk is a single storage-failure point. Which change addresses the stated risk most directly?

  1. Begin with measured cloud capacity and adjust it iteratively.
  2. Scale compute capacity to match the growing load.
  3. Store objects on Amazon S3 using its managed durability design.
  4. Combine load balancing with automatically adjusted capacity.

Explanation

Correct Answer

C:

S3 distributes object data redundantly for high durability within its stated service scope. The decision directly serves a video archive must preserve objects even if a storage device fails; it produces the testable result that object data remains recoverable despite individual storage-component failures.

Incorrect Answers

A:

Cloud agility lets teams make reversible capacity decisions based on actual observations. It would instead yield the fleet changes size after evidence shows the real workload profile; the problem requires object data remains recoverable despite individual storage-component failures.

B:

Scalability allows a system to handle increased demand by adding resources. That approach would be appropriate when an application is consistently too slow because it has outgrown a small fixed server allocation, not for the current constraint: a video archive must preserve objects even if a storage device fails.

D:

Elastic scaling and balanced requests allow more healthy compute resources to serve demand. Its observable effect is healthy targets grow as request volume increases and traffic reaches them, while the intended outcome here is object data remains recoverable despite individual storage-component failures.

Question 21

The team will implement this choice: Deploy application endpoints closer to users using AWS Regions and edge delivery. Which statement is the rationale for the decision?

  1. Global reach lets workloads and content serve widely distributed users at shorter network distance.
  2. Consumption-aligned execution avoids paying for continuously idle compute capacity when services allow it.
  3. Multi-AZ designs reduce dependence on any one isolated facility.
  4. Elasticity adjusts supplied capacity to workload fluctuations instead of fixing peak capacity permanently.

Explanation

Correct Answer

A:

Global reach lets workloads and content serve widely distributed users at shorter network distance. It avoids the specific failure that one distant origin can increase round-trip time for remote users, and the outcome confirms that customers on distant continents experience reduced content latency.

Incorrect Answers

B:

Consumption-aligned execution avoids paying for continuously idle compute capacity when services allow it. This is the rationale for use demand-driven compute that can be activated only when necessary in a different situation; the chosen action is deploy application endpoints closer to users using AWS Regions and edge delivery.

C:

Multi-AZ designs reduce dependence on any one isolated facility. This is the rationale for distribute serving capacity across multiple Availability Zones in a different situation; the chosen action is deploy application endpoints closer to users using AWS Regions and edge delivery.

D:

Elasticity adjusts supplied capacity to workload fluctuations instead of fixing peak capacity permanently. This is the rationale for use elastic capacity that grows and shrinks with demand in a different situation; the chosen action is deploy application endpoints closer to users using AWS Regions and edge delivery.

Question 22

The operations team reports a mismatch between the requirement and actual behavior: Putting every server in one Availability Zone retains a facility-level failure domain. Which action corrects it?

  1. Distribute serving capacity across multiple Availability Zones.
  2. Select suitable AWS Regions for each audience and regulatory boundary.
  3. Use pay-as-you-go resources and stop unused environments.
  4. Rent temporary cloud resources rather than buy dedicated physical machines.

Explanation

Correct Answer

A:

Multi-AZ designs reduce dependence on any one isolated facility. The decision directly serves a production web service must continue through loss of a single data-center facility; it produces the testable result that requests continue during a single-AZ outage when health routing is configured.

Incorrect Answers

B:

Regional deployment enables a geographic choice of where data and workloads run. The condition for that alternative is a multinational application needs a deployment location that supports local customer experience requirements; this question instead needs requests continue during a single-AZ outage when health routing is configured.

C:

Variable consumption reduces upfront commitment for short-lived initiatives. It addresses a different situation: a startup wants to test ten product ideas but retain infrastructure only for successful experiments; the target requires requests continue during a single-AZ outage when health routing is configured.

D:

Short-lived workloads benefit from avoiding sunk capital costs and hardware lifecycle obligations. Its observable effect is the team can shut down the prototype and stop most usage-based costs, while the intended outcome here is requests continue during a single-AZ outage when health routing is configured.

Question 23

A project owner states the following business and technical constraint: A firm cannot predict the capacity needed for a new customer portal and wants to learn from production demand. Which response fits?

  1. Begin with measured cloud capacity and adjust it iteratively.
  2. Select suitable AWS Regions for each audience and regulatory boundary.
  3. Define infrastructure with version-controlled templates and automated deployment.
  4. Use infrastructure as code for repeatable provisioning.

Explanation

Correct Answer

A:

Cloud agility lets teams make reversible capacity decisions based on actual observations. Given that a firm cannot predict the capacity needed for a new customer portal and wants to learn from production demand, success means the fleet changes size after evidence shows the real workload profile.

Incorrect Answers

B:

Regional deployment enables a geographic choice of where data and workloads run. It would instead yield data is placed in the chosen region while customers are served with acceptable latency; the problem requires the fleet changes size after evidence shows the real workload profile.

C:

Automation turns configuration into auditable code and reduces hand-configured differences. The condition for that alternative is an engineering manager wants deployment changes to be reviewed and reproduced in another region; this question instead needs the fleet changes size after evidence shows the real workload profile.

D:

Declarative templates provide reproducible environments with reviewable changes. This action handles a development team repeatedly builds isolated environments with the same network and access configuration, but it does not address the observed risk that precommitting to five years of maximum hardware capacity embeds an untested forecast.

Question 24

A design review accepts the following recommendation: Deploy through cloud services in an AWS account with centrally managed identities. Which technical principle supports it?

  1. Automation turns configuration into auditable code and reduces hand-configured differences.
  2. Cloud delivery removes the requirement to provision local physical server space for each tool.
  3. Elasticity adjusts supplied capacity to workload fluctuations instead of fixing peak capacity permanently.
  4. Multi-AZ designs reduce dependence on any one isolated facility.

Explanation

Correct Answer

B:

Cloud delivery removes the requirement to provision local physical server space for each tool. The decision directly serves a remote workforce needs a new cloud-hosted tool without waiting for a company-owned server room; it produces the testable result that approved staff access the service after cloud deployment and permissions setup.

Incorrect Answers

A:

Automation turns configuration into auditable code and reduces hand-configured differences. This is the rationale for define infrastructure with version-controlled templates and automated deployment in a different situation; the chosen action is deploy through cloud services in an AWS account with centrally managed identities.

C:

Elasticity adjusts supplied capacity to workload fluctuations instead of fixing peak capacity permanently. This is the rationale for use elastic capacity that grows and shrinks with demand in a different situation; the chosen action is deploy through cloud services in an AWS account with centrally managed identities.

D:

Multi-AZ designs reduce dependence on any one isolated facility. This is the rationale for distribute serving capacity across multiple Availability Zones in a different situation; the chosen action is deploy through cloud services in an AWS account with centrally managed identities.

Question 25

A service owner selects this control or capability: Combine load balancing with automatically adjusted capacity. What evidence would show the requirement is satisfied?

  1. Data is placed in the chosen region while customers are served with acceptable latency.
  2. Two environments provisioned from the same tested definition match their intended settings.
  3. Healthy targets grow as request volume increases and traffic reaches them.
  4. The database team spends less time administering the underlying host.

Explanation

Correct Answer

C:

Elastic scaling and balanced requests allow more healthy compute resources to serve demand. It avoids the specific failure that relying on one fixed-size application server creates a bottleneck at spikes, and the outcome confirms that healthy targets grow as request volume increases and traffic reaches them.

Incorrect Answers

A:

Regional deployment enables a geographic choice of where data and workloads run. That result validates select suitable AWS Regions for each audience and regulatory boundary, rather than the stated decision to combine load balancing with automatically adjusted capacity.

B:

Declarative templates provide reproducible environments with reviewable changes. That result validates use infrastructure as code for repeatable provisioning, rather than the stated decision to combine load balancing with automatically adjusted capacity.

D:

Managed services transfer specified operational responsibilities such as infrastructure maintenance to AWS. That result validates choose a managed database service with provider-managed infrastructure tasks, rather than the stated decision to combine load balancing with automatically adjusted capacity.

Question 26

A design review accepts the following recommendation: Provision cloud resources through self-service APIs. Which technical principle supports it?

  1. On-demand provisioning shortens the interval between idea and test while access policies control usage.
  2. AWS self-service provisioning avoids physical hardware procurement and installation delays.
  3. Multi-AZ designs reduce dependence on any one isolated facility.
  4. S3 distributes object data redundantly for high durability within its stated service scope.

Explanation

Correct Answer

B:

AWS self-service provisioning avoids physical hardware procurement and installation delays. Given that a marketing team must launch an online campaign in days without purchasing servers ahead of demand, success means a test environment becomes available when the team requests it.

Incorrect Answers

A:

On-demand provisioning shortens the interval between idea and test while access policies control usage. This is the rationale for use on-demand AWS provisioning with controlled account permissions in a different situation; the chosen action is provision cloud resources through self-service APIs.

C:

Multi-AZ designs reduce dependence on any one isolated facility. This is the rationale for distribute serving capacity across multiple Availability Zones in a different situation; the chosen action is provision cloud resources through self-service APIs.

D:

S3 distributes object data redundantly for high durability within its stated service scope. This is the rationale for store objects on Amazon S3 using its managed durability design in a different situation; the chosen action is provision cloud resources through self-service APIs.

Question 27

A company has chosen this AWS approach: Move suitable workloads to managed cloud infrastructure services. Which observation would best confirm that it met the intended requirement?

  1. Authorized engineers start an isolated trial during the current sprint.
  2. Healthy targets grow as request volume increases and traffic reaches them.
  3. Unused test environments stop generating most resource charges when terminated.
  4. AWS owns replacement of the underlying physical equipment.

Explanation

Correct Answer

D:

Cloud consumers avoid owning the physical server refresh cycle, even though workload administration may remain. Given that a company expects a hardware refresh within a year and wants to reduce ownership of server replacements, success means AWS owns replacement of the underlying physical equipment.

Incorrect Answers

A:

On-demand provisioning shortens the interval between idea and test while access policies control usage. That result validates use on-demand AWS provisioning with controlled account permissions, rather than the stated decision to move suitable workloads to managed cloud infrastructure services.

B:

Elastic scaling and balanced requests allow more healthy compute resources to serve demand. That result validates combine load balancing with automatically adjusted capacity, rather than the stated decision to move suitable workloads to managed cloud infrastructure services.

C:

Variable consumption reduces upfront commitment for short-lived initiatives. That result validates use pay-as-you-go resources and stop unused environments, rather than the stated decision to move suitable workloads to managed cloud infrastructure services.

Question 28

An AWS deployment has an avoidable issue: Buying and racking physical servers adds lead time before experiments can run. Which corrective decision is most appropriate?

  1. Select suitable AWS Regions for each audience and regulatory boundary.
  2. Adopt managed event-driven components with automatic scaling where appropriate.
  3. Provision cloud resources through self-service APIs.
  4. Store objects on Amazon S3 using its managed durability design.

Explanation

Correct Answer

C:

AWS self-service provisioning avoids physical hardware procurement and installation delays. Given that a marketing team must launch an online campaign in days without purchasing servers ahead of demand, success means a test environment becomes available when the team requests it.

Incorrect Answers

A:

Regional deployment enables a geographic choice of where data and workloads run. The condition for that alternative is a multinational application needs a deployment location that supports local customer experience requirements; this question instead needs a test environment becomes available when the team requests it.

B:

Managed scaling can absorb changing demand without manual host administration. It addresses a different situation: a mobile application experiences unpredictable daily peaks but the team has only a small operations staff; the target requires a test environment becomes available when the team requests it.

D:

S3 distributes object data redundantly for high durability within its stated service scope. Its observable effect is object data remains recoverable despite individual storage-component failures, while the intended outcome here is a test environment becomes available when the team requests it.

Question 29

Cloud governance review finds the following exposure: Relying on one fixed-size application server creates a bottleneck at spikes. Which change most directly fixes the issue?

  1. Combine load balancing with automatically adjusted capacity.
  2. Provision cloud resources through self-service APIs.
  3. Deploy application endpoints closer to users using AWS Regions and edge delivery.
  4. Move suitable workloads to managed cloud infrastructure services.

Explanation

Correct Answer

A:

Elastic scaling and balanced requests allow more healthy compute resources to serve demand. Given that a web application receives unexpected demand after a product announcement and needs to stay responsive, success means healthy targets grow as request volume increases and traffic reaches them.

Incorrect Answers

B:

AWS self-service provisioning avoids physical hardware procurement and installation delays. The condition for that alternative is a marketing team must launch an online campaign in days without purchasing servers ahead of demand; this question instead needs healthy targets grow as request volume increases and traffic reaches them.

C:

Global reach lets workloads and content serve widely distributed users at shorter network distance. It addresses a different situation: a retailer launches a read-heavy website for customers on multiple continents; the target requires healthy targets grow as request volume increases and traffic reaches them.

D:

Cloud consumers avoid owning the physical server refresh cycle, even though workload administration may remain. Its observable effect is AWS owns replacement of the underlying physical equipment, while the intended outcome here is healthy targets grow as request volume increases and traffic reaches them.

Question 30

An architect reviews this proposed change: A startup wants to test ten product ideas but retain infrastructure only for successful experiments. Which approach directly satisfies the constraint?

  1. Scale compute capacity to match the growing load.
  2. Define infrastructure with version-controlled templates and automated deployment.
  3. Use pay-as-you-go resources and stop unused environments.
  4. Store objects on Amazon S3 using its managed durability design.

Explanation

Correct Answer

C:

Variable consumption reduces upfront commitment for short-lived initiatives. The decision directly serves a startup wants to test ten product ideas but retain infrastructure only for successful experiments; it produces the testable result that unused test environments stop generating most resource charges when terminated.

Incorrect Answers

A:

Scalability allows a system to handle increased demand by adding resources. That approach would be appropriate when an application is consistently too slow because it has outgrown a small fixed server allocation, not for the current constraint: a startup wants to test ten product ideas but retain infrastructure only for successful experiments.

B:

Automation turns configuration into auditable code and reduces hand-configured differences. It would instead yield a reviewed template can create an equivalent approved environment elsewhere; the problem requires unused test environments stop generating most resource charges when terminated.

D:

S3 distributes object data redundantly for high durability within its stated service scope. Its observable effect is object data remains recoverable despite individual storage-component failures, while the intended outcome here is unused test environments stop generating most resource charges when terminated.

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