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Question 21Question →

An organization is evaluating AWS compute services to host different types of applications and workloads. Match each workload scenario to the most appropriate AWS compute service.

Click a left item, then click its matching right item

Items

An IoT platform needs to run short-lived, background data processing scripts that trigger only when sensors report anomalous data, paying only for the execution time.
A student wants to run a personal portfolio website with a pre-integrated database and a simplified, bundled billing structure.
A retail company wants to deploy containerized web APIs that automatically scale based on demand without managing the underlying virtual machine host clusters.
A research team needs to run a proprietary simulation application that requires custom kernel modifications on the operating system and direct access to raw block storage.

Matches

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Answer

The correct pairings are: the IoT platform matches AWS Lambda; the portfolio website matches Amazon Lightsail; the containerized API matches AWS Fargate; and the simulation application matches Amazon EC2.
Each workload aligns with a specific compute option: AWS Lambda excels at event-driven, short-lived tasks; Amazon Lightsail is optimized for quick, bundled deployments with predictable pricing; AWS Fargate runs containerized applications without requiring infrastructure provisioning; and Amazon EC2 provides raw virtual servers with complete administrative and OS-level control.

Step-by-Step Solution

1
Analyze each workload's primary requirements, such as administrative access, management overhead, containerization, event-driven execution, and pricing models.
Identified key requirements: IoT needs short-lived event-driven execution; portfolio website needs simplified bundle; APIs need container execution without VM management; simulation needs OS kernel customization.
Allows mapping characteristics to specific compute service categories (IaaS, Serverless, Containerized, PaaS/VPS).
2
Match the identified requirements to the corresponding AWS compute services: AWS Lambda for event-driven serverless code; Amazon Lightsail for simple pre-configured VPS with predictable pricing; AWS Fargate for serverless container running; Amazon EC2 for raw virtual servers with OS administrative control.
Mapped IoT to AWS Lambda, portfolio website to Amazon Lightsail, APIs to AWS Fargate, and simulation to Amazon EC2.
Ensures optimal resource alignment based on AWS design principles and service limits.

Key Concept

Selecting appropriate AWS compute services based on operational constraints, cost models, and management responsibility.
Estimated Time:2m 0s
Question 22Question →

An IT consultancy is planning the migration of several distinct client applications to AWS. To optimize costs and operational efficiency, they must pair each workload with the correct compute service. How should the following workload scenarios be matched to their most appropriate AWS compute services?

Click a left item, then click its matching right item

Items

A developer needs to host a simple, low-cost personal portfolio website with a pre-configured LAMP stack and predictable monthly pricing.
A system administrator needs to run a legacy enterprise software application that requires full control over the underlying operating system and administrative access to configure custom kernel modules.
A software engineer wants to run a serverless, event-driven background job that automatically processes image uploads to an Amazon S3 bucket within milliseconds, with no infrastructure management.
A DevOps team needs to run containerized microservices where AWS manages the underlying server provisioning, cluster scaling, and server maintenance.

Matches

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Answer

The portfolio website matches Amazon Lightsail; the legacy application requiring kernel control matches Amazon Elastic Compute Cloud (Amazon EC2); the event-driven image processing job matches AWS Lambda; and the containerized microservices requiring serverless management match AWS Fargate.
The correct matches map each business workload to the compute service that aligns with its administration requirements and scaling parameters. Amazon Lightsail is correct for the LAMP site because it bundles compute, storage, and networking into a simple package with predictable pricing. Amazon EC2 is correct for the legacy application because it provides full host and operating system administrative control. AWS Lambda is correct for the S3-triggered event processing because it runs short-lived functions in response to event triggers without provisioning servers. AWS Fargate is correct for containerized microservices because it is a serverless container host that eliminates server management.

Step-by-Step Solution

1
Analyze the workload requirements for each scenario, noting key constraints such as operating system control, serverless scaling, pre-configured environments, and pricing predictability.
Identified key requirements: predictable pricing/LAMP for scenario 1, OS/kernel control for scenario 2, serverless/event-driven trigger for scenario 3, and serverless container management for scenario 4.
Matching AWS compute services depends on mapping specific workload characteristics to the capabilities and management models of each service.
2
Evaluate Amazon Lightsail against the portfolio website scenario.
Amazon Lightsail is selected because it offers pre-configured stacks (like LAMP) and predictable pricing structures.
Lightsail provides all-in-one virtual private servers tailored for simple projects with fixed monthly plans.
3
Evaluate Amazon EC2 against the legacy software scenario.
Amazon Elastic Compute Cloud (Amazon EC2) is selected because the customer requires full root access and OS/kernel customization.
EC2 is an Infrastructure-as-a-Service (IaaS) offering that grants complete administrative control over virtual machines.
4
Evaluate AWS Lambda against the image processing scenario.
AWS Lambda is selected because the execution is short-lived, event-driven (triggered by Amazon S3 uploads), and serverless.
Lambda is the primary serverless function service for running code in response to S3 events without managing container images or servers.
5
Evaluate AWS Fargate against the containerized microservices scenario.
AWS Fargate is selected because it allows running containers (ECS/EKS) without managing or provisioning underlying EC2 instances.
Fargate is a serverless compute engine specifically designed for running containerized workloads.

Key Concept

Selecting appropriate AWS compute services based on operational control, cost structure, serverless capabilities, and container orchestration requirements.
Estimated Time:2m 0s
Question 23Question →

Match each application workload requirement with the most appropriate AWS compute service.

Click a left item, then click its matching right item

Items

A legacy database migration requiring custom OS kernel modifications and full administrative OS access.
A Docker-based microservices application that needs to run containerized workloads without managing host servers.
An event-driven script that runs for under a minute only when new images are uploaded to an S3 bucket.
A small business WordPress site that requires a simple virtual private server (VPS) with a fixed, predictable monthly fee.

Matches

Show answer & explanation

Answer

The workload requiring custom OS control matches Amazon EC2. The containerized application without server management matches AWS Fargate. The event-driven short task triggered by S3 matches AWS Lambda. The small website requiring a predictable VPS matches Amazon Lightsail.
Each workload is paired with the compute service that aligns with its requirement for administrative control, container orchestration, event-driven scalability, or pricing simplicity.

Step-by-Step Solution

1
Analyze the workload requiring full OS access and kernel customization.
This requires Amazon EC2 because it is an Infrastructure as a Service (IaaS) offering full virtual machine control.
Other options are managed or serverless and do not allow kernel customization or guest OS access.
2
Analyze the workload requiring container execution without managing underlying hosts.
This requires AWS Fargate, which is the serverless launch type for container orchestration on AWS.
Running containers on EC2 requires host management, whereas Fargate abstract hosts away.
3
Analyze the short, event-triggered workload.
This requires AWS Lambda, which is an event-driven serverless service designed for short-lived execution windows.
Lambda executes code only when triggered (such as by S3 events) and charges only for compute time used.
4
Analyze the workload requiring a simple VPS with a predictable monthly price.
This requires Amazon Lightsail, which bundles compute, storage, and transfer into a simple, predictable VPS package.
Lightsail is designed specifically for simple, low-traffic sites needing straightforward monthly cost planning.

Key Concept

Selecting appropriate AWS compute services based on operational control, deployment models (serverless, containerized, IaaS), and pricing predictability.
Estimated Time:1m 30s
Question 24Question →

An enterprise is planning to migrate several workloads to the AWS Cloud and wants to select the optimal compute service for each application. Match each workload description to the most appropriate AWS compute service.

Click a left item, then click its matching right item

Items

A containerized microservice that must be executed without provisioning, patching, or managing any underlying EC2 instances.
A simple web blog that requires an all-in-one environment containing a virtual server, storage, and networking with a predictable monthly price.
A short-lived, event-driven task that processes images automatically when uploaded to Amazon S3, completing within seconds.
A database server requiring administrative access to customize the underlying Windows Server operating system and system registry.

Matches

Show answer & explanation

Answer

Matching pairs: The containerized microservice without VM management matches AWS Fargate. The simple blog with predictable flat pricing matches Amazon Lightsail. The short-lived, S3-triggered task matches AWS Lambda. The database server requiring administrative OS access matches Amazon EC2.
The correct matches align each compute service with its operational profile: AWS Fargate hosts containers without server management; Amazon Lightsail provides simplified VPS deployments with predictable billing; AWS Lambda runs event-triggered stateless code; and Amazon EC2 provides full administrative control over virtual servers.

Step-by-Step Solution

1
Analyze the containerized microservice requirements.
The requirement calls for running containers without managing virtual servers. This aligns with AWS Fargate.
AWS Fargate is the serverless launch type for container orchestration on AWS.
2
Analyze the blog requirements.
The requirement asks for an all-in-one VPS bundle with flat, predictable pricing. This aligns with Amazon Lightsail.
Amazon Lightsail is designed specifically for simple, predictable web hosting workloads.
3
Analyze the short-lived event-driven task requirements.
The requirement highlights an event-driven function executing in response to S3 uploads for a few seconds. This aligns with AWS Lambda.
AWS Lambda is ideal for event-driven serverless functions that run for short durations.
4
Analyze the database server requirements.
The requirement demands full administrative control over the OS and registry. This aligns with Amazon EC2.
Amazon EC2 is an Infrastructure as a Service (IaaS) offering that grants complete root/administrator level access to the virtual machine.

Key Concept

AWS Compute Services selection based on architectural requirements and management overhead boundaries.
Estimated Time:1m 30s
Question 25Question →

A cloud architect is evaluating different AWS compute options for a suite of application workloads. Each workload has specific requirements regarding control, scaling, and management overhead. Which AWS compute service is the most appropriate choice for each of the described workloads?

Click a left item, then click its matching right item

Items

AWS Lambda
AWS Fargate
AWS Elastic Beanstalk
Amazon EC2

Matches

Show answer & explanation

Answer

AWS Lambda matches the stateless IoT telemetry processor. AWS Fargate matches the continuous serverless containerized microservice. AWS Elastic Beanstalk matches the web application requiring quick deployment with infrastructure control. Amazon EC2 matches the database requiring root-level access and custom OS configurations.
Each compute service must be matched to the workload requirement that aligns with its operational model, level of management, and scaling characteristics. Amazon EC2 matches the database requiring root-level control. AWS Lambda matches the event-driven telemetry processing. AWS Elastic Beanstalk matches the quick web application deployment with infrastructure control. AWS Fargate matches the serverless container execution.

Step-by-Step Solution

1
Analyze the requirements for each workload to identify key characteristics such as administrative control, management model (PaaS, serverless, or IaaS), scaling needs, and application packaging (containers vs. code vs. virtual machines).
Workload 1 needs event-driven, zero-idle-cost scaling. Workload 2 needs serverless container execution. Workload 3 needs simple code deployment (PaaS) but with infrastructure control. Workload 4 needs full OS/kernel control.
Understanding key differentiators helps map each workload to the correct service.
2
Match each requirement to the corresponding AWS compute service based on their architectural features.
AWS Lambda is selected for event-driven telemetry (zero idle cost). AWS Fargate is selected for serverless container orchestration. AWS Elastic Beanstalk is selected for code-based web deployment with underlying control. Amazon EC2 is selected for full OS root/kernel control.
Matching aligned capabilities ensures optimal architecture.

Key Concept

Selecting the appropriate AWS compute service based on workload requirements including control, scaling, and serverless options.
Estimated Time:2m 0s
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