CLF-C02 Cloud Concepts Practice Test 8 — 15 Questions

Question 1

A startup uses AWS Lambda for its backend processing. The company is billed only for the number of function invocations and the compute time consumed, rounded up to the nearest millisecond. There are no minimum fees or upfront commitments. This billing model is a direct example of which essential characteristic of cloud computing?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Measured service. The AWS Lambda billing model—charging only for function invocations and compute time rounded to the nearest millisecond, with no minimum fees or upfront commitments—directly exemplifies measured service. This essential characteristic of cloud computing means that resource usage is metered, monitored, and reported transparently, allowing customers to pay only for what they consume. In Lambda, the metering is granular: each invocation is counted, and duration is measured in 1-millisecond increments, enabling precise cost allocation.

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On-demand self-service

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Resource pooling

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Broad network access

Question 2

A development team needs to create a temporary Amazon RDS database for testing a new feature. The team uses the AWS Management Console to launch a db.t3.micro MySQL instance, configures the security group, and connects the application within minutes. When the testing is complete, they terminate the instance without any interaction with AWS support or IT administrators. This ability to provision and manage resources entirely through self-service interfaces best describes which essential characteristic of cloud computing?

Accepted Answer

On-demand self-service. The scenario describes the development team provisioning and terminating an RDS instance entirely through the AWS Management Console without requiring any human interaction with AWS support or IT administrators. This aligns with the NIST definition of on-demand self-service, where a consumer can unilaterally provision computing capabilities as needed automatically without requiring human interaction with each service provider.

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Resource pooling

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Rapid elasticity

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Measured service

Question 3

A company runs a customer-facing web application on Amazon EC2 instances. The application experiences unpredictable traffic patterns, with occasional spikes during marketing campaigns and lulls at other times. The company configures an Auto Scaling group to automatically add EC2 instances when CPU utilization exceeds 70% and remove instances when it drops below 30%. This ability to scale computing resources up and down in response to demand best represents which essential characteristic of cloud computing?

Accepted Answer

Elasticity. The scenario describes an Auto Scaling group that dynamically adjusts the number of EC2 instances based on CPU utilization thresholds (70% scale-up, 30% scale-down). This ability to automatically provision and de-provision computing resources to match demand is the defining characteristic of elasticity in cloud computing, which allows resources to scale out during spikes and scale in during lulls, optimizing cost and performance.

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High availability

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Security

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Cost management

Question 4

A company is migrating its on-premises data center to AWS. The Chief Financial Officer (CFO) wants to understand how this migration will change the company's financial structure. Historically, the company purchased servers, networking equipment, and software licenses upfront, with costs depreciating over several years. The CFO notes that the move to AWS will replace these large upfront capital expenditures with smaller, recurring operational expenses based on actual usage. Which essential characteristic of cloud computing enables this shift from capital expenditure (CAPEX) to operational expenditure (OPEX)?

Accepted Answer

Measured service. Measured service is the cloud characteristic that allows providers to track and bill customers for actual resource usage (e.g., compute hours, storage GB-months, data transfer). This pay-as-you-go model directly replaces the need for large upfront capital purchases (CAPEX) with variable, usage-based operational expenses (OPEX), as the CFO requires. Without measured service, AWS would have no mechanism to meter consumption and charge proportionally, making the financial shift impossible.

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Elasticity

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High availability

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Resource pooling

Question 5

A company runs its web application on a fleet of Amazon EC2 instances. The operations team does not know which specific physical servers host their instances, nor does the team have any control over the underlying hardware. However, the team can be confident that if one physical server fails, AWS will automatically launch replacement instances on different hosts. The team can also specify the general geographic region (e.g., us-west-2) but not the exact data center. This scenario best describes which essential characteristic of cloud computing?

Accepted Answer

Resource pooling. Resource pooling is correct because the scenario describes how the cloud provider's physical and virtual resources (servers, hosts, data centers) are aggregated into a shared pool to serve multiple customers. The operations team cannot control or know the exact physical host or data center, but AWS abstracts that complexity and can automatically launch replacement instances on different hosts if one fails. This multi-tenant model, where the customer has no visibility or control over the underlying physical location beyond a high-level region, is the defining characteristic of resource pooling.

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Rapid elasticity

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Measured service

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On-demand self-service

Question 6

A company has migrated its customer-facing web application to AWS. The application is deployed on Amazon EC2 instances behind an Application Load Balancer. The company's customers access the application from various devices—desktop computers, laptops, tablets, and smartphones—using standard web browsers without any additional configuration or proprietary software. The ability for customers to reach the application over the internet from any device with a standard browser best demonstrates which essential characteristic of cloud computing?

Accepted Answer

Broad network access. Broad network access is the correct answer because the scenario describes customers accessing the application from various devices (desktops, laptops, tablets, smartphones) using standard web browsers over the internet without any proprietary software. This directly matches the NIST definition of broad network access: resources are available over the network and accessed through standard mechanisms (e.g., HTTP/HTTPS) that promote use by heterogeneous thin or thick client platforms.

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On-demand self-service

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Resource pooling

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Rapid elasticity

Question 7

A company runs a critical database on a single Amazon EC2 instance in a single Availability Zone. To increase fault tolerance and minimize downtime, the architecture team decides to deploy the database across multiple Availability Zones using a primary/standby configuration. This design pattern of distributing resources across isolated locations to ensure continuous operation even if an entire data center fails best demonstrates which fundamental concept of cloud computing?

Accepted Answer

High availability. Deploying a critical database across multiple Availability Zones in a primary/standby configuration ensures that if one data center (AZ) fails, the standby instance can take over with minimal downtime. This design directly implements high availability (HA), which is the ability of a system to remain operational despite component failures. The scenario specifically describes fault tolerance through geographic redundancy, which is the core of HA in cloud computing.

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Elasticity

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Scalability

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Security

Question 8

A company is migrating its customer-facing web application to AWS. The Chief Information Security Officer (CISO) is reviewing the division of security responsibilities. The CISO understands that AWS is responsible for the security of the physical data centers, hardware, and network infrastructure. The company, as the customer, is responsible for securing the application code, customer data, and operating system patches on Amazon EC2 instances. This division of security responsibilities is an example of which fundamental cloud computing concept?

Accepted Answer

Shared responsibility model. The shared responsibility model. This model delineates security obligations between AWS and the customer: AWS secures the cloud infrastructure (physical data centers, hardware, network), while the customer secures what is in the cloud (application code, customer data, OS patches on EC2 instances). The scenario directly describes this division, making it a textbook example of the shared responsibility model.

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Resource pooling

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Elasticity

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Measured service

Question 9

A company's website serves static content—such as images, videos, and CSS files—to a global audience. The company wants to reduce load times for users located far from the primary AWS Region where the application is hosted. Which component of the AWS global infrastructure is specifically designed to cache and deliver this content with low latency from locations close to end users?

Accepted Answer

Edge Locations. Edge Locations are part of AWS CloudFront, a content delivery network (CDN) that caches static content (e.g., images, videos, CSS) at geographically distributed points of presence (PoPs). When a user requests content, CloudFront serves it from the nearest Edge Location, reducing latency and improving load times for global audiences. This makes Edge Locations the correct choice for caching and delivering static content with low latency.

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Regional Edge Caches

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Availability Zones

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AWS Outposts

Question 10

A company operates a seasonal e-commerce website. During holiday sales, traffic can increase by 500% within minutes. The company uses AWS Auto Scaling to automatically add Amazon EC2 instances when CPU utilization exceeds a threshold and remove instances during off-peak hours. The company pays only for the compute capacity it actually consumes, with no upfront commitment. This scenario best demonstrates which essential characteristics of cloud computing?

Accepted Answer

Rapid elasticity and measured service. The scenario demonstrates rapid elasticity because the Auto Scaling group can instantly add hundreds of EC2 instances to handle a 500% traffic surge, and then remove them when demand drops. It also demonstrates measured service because the company pays only for the compute capacity actually consumed, with no upfront commitment, which is metered and billed based on usage.

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On-demand self-service and broad network access

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Resource pooling and high availability

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Fault tolerance and disaster recovery

Question 11

A company's marketing team needs a temporary compute environment to run a one-week data analysis for a campaign. The developer uses the AWS CLI to automatically provision an Amazon EC2 instance and an Amazon RDS database without any manual approval or interaction from the AWS support team. This ability to provision resources automatically without requiring human interaction from the cloud provider best demonstrates which essential characteristic of cloud computing?

Accepted Answer

On-demand self-service. The scenario describes a developer using the AWS CLI to provision an EC2 instance and an RDS database without any manual approval or interaction from AWS support. This ability to automatically obtain and configure computing resources as needed, without requiring human intervention from the provider, is the defining characteristic of on-demand self-service. It allows users to provision and manage resources through a self-service interface (like the AWS Management Console, CLI, or SDKs) at any time, without needing to submit a request to AWS staff.

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Broad network access

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Resource pooling

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Rapid elasticity

Question 12

A startup is evaluating a migration from its on-premises infrastructure to AWS. The CTO notes that AWS can offer significantly lower per-unit costs for compute and storage compared to the startup's own data center. The CTO explains that AWS achieves this by pooling the demand of millions of customers, which allows AWS to negotiate better hardware prices and spread the fixed costs of data centers, power, cooling, and operational staff across a massive customer base. This specific cost advantage of cloud computing is best described by which fundamental concept?

Accepted Answer

Economies of scale. Economies of scale (Option B) is the correct concept because it directly describes how AWS achieves lower per-unit costs by aggregating demand from millions of customers. This massive scale allows AWS to negotiate bulk discounts on hardware, spread fixed costs (data centers, power, cooling, staff) over a huge customer base, and operate at a cost structure that individual startups cannot match. The CTO's description of pooling demand and spreading fixed costs is the textbook definition of economies of scale in cloud computing.

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Elasticity

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High availability

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Fault tolerance

Question 13

A company runs multiple workloads on AWS. At the end of each month, the finance team receives a detailed invoice that shows exactly how many GB-hours of Amazon EBS storage each workload used and how many hours each Amazon EC2 instance was running. This granular usage data is used to allocate costs back to the respective business units. Which essential characteristic of cloud computing does this capability best demonstrate?

Accepted Answer

Measured service. The ability to track and report granular usage data—such as GB-hours of EBS storage and EC2 instance hours—directly corresponds to the measured service characteristic of cloud computing. Measured service means cloud resources are metered at an abstraction level appropriate to the service type (e.g., storage, compute), enabling usage-based billing and cost allocation. In this scenario, the detailed invoice provides precise consumption metrics that allow the finance team to allocate costs to specific business units, which is the core function of measured service.

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On-demand self-service

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Resource pooling

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Rapid elasticity

Question 14

A company runs an e-commerce platform on Amazon EC2 instances in a single AWS Region. The company wants to ensure that the platform remains available even if a natural disaster disrupts the entire geographic area of that Region. Which approach should the company take to meet this requirement?

Accepted Answer

Deploy the application across multiple AWS Regions.. Deploying the application across multiple AWS Regions ensures fault tolerance and disaster recovery even if an entire geographic area is disrupted. A natural disaster affecting a single Region would impact all Availability Zones within that Region, so multi-Region deployment is the only approach that provides geographic isolation and continuous availability.

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Deploy the application across multiple Availability Zones within the same Region.

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Deploy the application across multiple Edge Locations of Amazon CloudFront.

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Deploy the application on a larger instance type within the same Availability Zone.

Question 15

A company's sales team uses a cloud-based CRM application hosted on AWS. Sales representatives access the application from various devices—office desktops, company-issued laptops, and personal smartphones—using only standard web browsers and internet connections. No special client software or dedicated network connections are required. Which essential characteristic of cloud computing does this scenario best illustrate?

Accepted Answer

Broad network access. The scenario describes sales representatives accessing the CRM application from various devices (desktops, laptops, smartphones) using only standard web browsers and internet connections, without requiring special client software or dedicated network connections. This directly illustrates 'broad network access,' which is the ability for resources to be accessed over the network by a wide range of client platforms (e.g., mobile phones, laptops, workstations) using standard protocols (HTTP/HTTPS). The key is that the service is available from anywhere with an internet connection, not limited to a specific location or device type.

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On-demand self-service

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Resource pooling

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Rapid elasticity