CLF-C02 Practice Test 44 — 15 Questions

Question 1

A company runs a global gaming application on Amazon EC2 instances behind an Application Load Balancer in the us-east-1 Region. Players in Europe and Asia report high latency and intermittent connection drops. The company wants to improve the application's performance for global users by routing traffic over the AWS global network. The company also needs two static IP addresses that users can whitelist in their firewalls for consistent access, and the solution must provide health checks to automatically route traffic away from unhealthy endpoints. Which AWS service should the company use?

Accepted Answer

AWS Global Accelerator. AWS Global Accelerator is correct because it uses the AWS global network to route traffic from users to the application, reducing latency and jitter by avoiding the public internet. It provides two static anycast IP addresses that remain consistent for firewall whitelisting, and it integrates with health checks to automatically reroute traffic away from unhealthy EC2 endpoints behind the Application Load Balancer.

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Amazon CloudFront

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AWS WAF

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Amazon Route 53

Question 2

A company runs a mix of Amazon EC2 instances, AWS Fargate containers, and AWS Lambda functions across multiple AWS Regions. The company wants to reduce costs by making a 1-year commitment for compute usage. The company needs a flexible purchasing option that automatically applies the discounted rate to any EC2 instance, Fargate, or Lambda usage, regardless of region, instance family, or size. Which AWS purchasing option should the company use?

Accepted Answer

Compute Savings Plan. A Compute Savings Plan is the correct choice because it offers the most flexibility, automatically applying discounted rates to any EC2 instance, Fargate, or Lambda usage across any AWS Region, instance family, or size. This matches the company's requirement for a 1-year commitment that covers diverse compute services without regional or instance constraints.

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EC2 Instance Savings Plan

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Standard Reserved Instance

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Convertible Reserved Instance

Question 3

A company runs a monolithic order processing application on a single Amazon EC2 instance. During peak hours, the instance receives a sudden burst of orders that exceeds its processing capacity. Orders are dropped and customers do not receive confirmations. The company needs a solution that buffers incoming orders, stores them durably, and allows the application to process them at a manageable pace. The solution must be fully managed and ensure that no orders are lost. Which AWS service should the company use to meet these requirements?

Accepted Answer

Amazon Simple Queue Service (SQS). Amazon Simple Queue Service (SQS) is a fully managed message queuing service that decouples application components. It durably stores incoming orders in a queue, allowing the EC2 instance to poll and process them at its own pace, preventing order loss during traffic bursts. SQS guarantees at-least-once delivery and provides a buffer that absorbs spikes in demand.

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Amazon Simple Notification Service (SNS)

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Amazon Kinesis Data Firehose

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Amazon ElastiCache

Question 4

A company runs a multiplayer gaming application on AWS. The application uses UDP for real-time communication between players. Players in different geographic regions report high latency and connection instability. The company wants to improve performance by directing user traffic to the nearest healthy application endpoint and using a static IP address for the application. Which AWS service should the company use to meet these requirements?

Accepted Answer

AWS Global Accelerator. AWS Global Accelerator uses the AWS global network to route UDP traffic over optimized paths to the nearest healthy application endpoint, reducing latency and jitter. It provides two static anycast IP addresses that act as a fixed entry point, masking changes to underlying infrastructure. This directly addresses the need for low-latency UDP communication and a static IP for the gaming application.

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Amazon CloudFront

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Amazon Route 53

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AWS Direct Connect

Question 5

A company runs a nightly batch processing job on a single on-premises server. The job takes 4 hours to complete, and if the server fails during processing, the job must start over from the beginning. The company is migrating this workload to AWS. The solutions architect proposes running the job across multiple Amazon EC2 instances that process different chunks of data simultaneously. The architect also plans to configure the system so that if any single instance fails, its chunk is automatically reprocessed by another instance, ensuring the overall job still completes. Which benefit of cloud computing does this architecture primarily demonstrate?

Accepted Answer

Horizontal scaling. Option C is correct because the architecture distributes the workload across multiple EC2 instances, each processing a separate chunk of data. This is the definition of horizontal scaling (scaling out). If an instance fails, its chunk is automatically reprocessed by another instance, which demonstrates the fault tolerance and parallelism that horizontal scaling enables, not just adding more capacity.

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Elasticity

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High availability

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Global reach

Question 6

A company runs a read-heavy web application on Amazon EC2 instances that queries an Amazon RDS database. As traffic grows, the database CPU utilization is consistently high, causing slow response times for users. The company wants to reduce the load on the database by caching frequently accessed query results. They need a fully managed, in-memory caching service that can be set up quickly and integrates with common programming languages. Which AWS service should they use?

Accepted Answer

Amazon ElastiCache. Amazon ElastiCache is a fully managed, in-memory caching service that supports Redis and Memcached, both of which integrate with common programming languages via standard client libraries. It can be deployed quickly to cache frequently accessed database query results, offloading read traffic from the Amazon RDS instance and reducing CPU utilization.

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Amazon DynamoDB Accelerator (DAX)

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Amazon CloudFront

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Amazon S3 Transfer Acceleration

Question 7

A company runs a set of steady-state workloads on Amazon EC2 instances and Amazon ECS Fargate tasks. The company expects consistent usage for the next 3 years and wants to reduce compute costs. The company prefers flexibility to move workloads between different instance families and across different AWS compute services (EC2, ECS, and Lambda) without committing to a specific instance type or family. Which AWS pricing model meets these requirements?

Accepted Answer

Compute Savings Plans (3-year, partial upfront). Compute Savings Plans (3-year, partial upfront) is correct because it provides the highest flexibility, allowing workloads to move between EC2 instances, ECS Fargate, and Lambda without committing to a specific instance family or compute service. The 3-year term with partial upfront offers the maximum discount (up to 66%) for steady-state workloads while still enabling the required flexibility across compute services. This pricing model automatically applies the lowest price across any region and compute option, making it ideal for the described steady-state but flexible workload.

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EC2 Instance Savings Plans (3-year, no upfront)

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Standard Reserved Instances (1-year, all upfront)

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Convertible Reserved Instances (3-year, all upfront)

Question 8

A company runs a web application on a single Amazon EC2 instance. To improve the application's ability to remain operational even if an entire data center becomes unavailable, the company deploys identical application instances across three AWS Availability Zones and places them behind an Application Load Balancer. Which characteristic of cloud computing does this architecture best demonstrate?

Accepted Answer

High availability. Deploying identical application instances across three Availability Zones and placing them behind an Application Load Balancer ensures that if an entire data center (AZ) becomes unavailable, traffic is automatically rerouted to healthy instances in the remaining AZs. This architecture directly demonstrates high availability, which is the ability of a system to remain operational despite component failures, by eliminating a single point of failure at the data center level.

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Elasticity

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Scalability

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Agility

Question 9

A company runs a web application on Amazon EC2 instances that connect to an Amazon RDS MySQL database. The application requires database credentials to authenticate. The security team wants to eliminate the practice of storing database credentials in the application code or configuration files. Additionally, the team needs a managed service that can automatically rotate the database credentials on a regular schedule without any manual intervention. Which AWS service should the security team use to store and manage these database credentials?

Accepted Answer

AWS Secrets Manager. AWS Secrets Manager is the correct choice because it is a managed service specifically designed to store, manage, and automatically rotate database credentials (such as those for Amazon RDS MySQL) on a scheduled basis without manual intervention. It natively integrates with Amazon RDS to rotate credentials, eliminating the need to embed secrets in application code or configuration files, which directly addresses the security team's requirements.

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AWS Systems Manager Parameter Store

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AWS Identity and Access Management (IAM) roles

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AWS Key Management Service (AWS KMS)

Question 10

A company runs a web application that accepts customer orders. During peak hours, the order processing component often becomes overloaded, causing orders to be dropped. The company wants to ensure that every order is reliably stored and processed, and that the web tier and the processing tier can scale independently without losing data. Which AWS service should the company use to decouple the application components and provide a durable buffer for incoming orders?

Accepted Answer

Amazon Simple Queue Service (SQS). Amazon Simple Queue Service (SQS) is the correct choice because it provides a fully managed, durable, and scalable message queue that decouples the web tier from the processing tier. Orders are reliably stored in an SQS queue until the processing component retrieves them, ensuring no orders are dropped even during peak loads. SQS guarantees at-least-once delivery and supports independent scaling of producers and consumers without data loss.

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Amazon Simple Notification Service (SNS)

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Amazon Kinesis Data Streams

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AWS Step Functions

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 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.. Option C is correct because 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 13

A company runs an e-commerce website on Amazon EC2 instances behind an Application Load Balancer. The marketing team plans to run flash sales several times a year, which cause unpredictable but massive traffic spikes. The operations team wants the infrastructure to automatically add new EC2 instances when traffic increases and remove them when traffic decreases, without any manual intervention. Which cloud computing concept does this requirement MOST directly represent?

Accepted Answer

Elasticity. The requirement to automatically add EC2 instances during traffic spikes and remove them when traffic decreases directly represents elasticity. Elasticity is the ability to dynamically scale resources up or down based on real-time demand, which is precisely what the operations team needs for unpredictable flash sales. AWS Auto Scaling groups, integrated with the Application Load Balancer, automatically launch or terminate EC2 instances based on CloudWatch alarms (e.g., CPU utilization or request count), matching capacity to load without manual intervention.

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Scalability

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High availability

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Fault tolerance

Question 14

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 15

A company runs multiple containerized applications on a single Amazon ECS cluster using AWS Fargate. The company's compliance team asks whether sharing the same underlying physical hardware with other AWS customers introduces security risks. The company explains that AWS isolates each customer's compute environment, even though resources are drawn from a shared pool. Which essential characteristic of cloud computing does this arrangement best illustrate?

Accepted Answer

Resource pooling. Resource pooling is the cloud characteristic where a provider's computing resources are pooled to serve multiple customers using a multi-tenant model, with physical and virtual resources dynamically assigned and reassigned according to consumer demand. AWS Fargate abstracts the underlying infrastructure, so even though containers run on shared physical hardware, each customer's compute environment is isolated at the hypervisor and kernel level. This arrangement directly illustrates resource pooling because the provider manages the shared pool while ensuring logical separation between tenants.

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Rapid elasticity

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Measured service

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On-demand self-service