A company needs to run a machine learning inference workload that requires high-performance GPU processing. Which EC2 instance type is most appropriate for this workload?

Memory-optimized instances (e.g., r5)

Accelerated computing instances (e.g., p3)

Storage-optimized instances (e.g., i3)

An e-commerce application has a front-end web tier and a backend order-processing service. During peak sales events, the front-end can scale out quickly, but the backend service often becomes overwhelmed and drops orders. The company wants to decouple the two tiers so that the front-end can accept orders even when the backend is slow, and the backend can process them at its own pace. Which solution should the company implement?

Have the front-end call the backend directly using a REST API and increase the backend's instance size.

Use Amazon SNS to publish order events to the backend, which subscribes to the topic and processes them.

Place an Application Load Balancer between the front-end and the backend to distribute traffic evenly.

Use an Amazon SQS queue between the front-end and the backend. The front-end sends order messages to the queue, and the backend polls the queue and processes messages.

A company is running a containerized application on AWS Fargate. The application is CPU-intensive and the current task definition allocates 0.25 vCPU and 512 MB memory. The application is experiencing high CPU utilization and performance degradation. Which change to the task definition is most appropriate to improve performance?

Increase the memory allocation only

A company has a microservices architecture where a new user signup triggers multiple downstream processes: sending a welcome email, updating a CRM, and generating a report. The company wants to ensure that all downstream processes run concurrently and that a failure in one process does not affect the others. Which solution should the company use?

Use Amazon SQS to send a message to a single queue that all downstream services poll.

Use an Application Load Balancer to distribute the signup event to all downstream services.

Use AWS Step Functions to orchestrate the downstream processes sequentially.

Use Amazon SNS to publish a notification to a topic, and have each downstream service subscribe to the topic.

AWSCertified Solutions Architect - Associate

Domain 3Objective 2

Task 3.2: Design High-Performing and Elastic Compute Solutions SAA-C03 Practice Questions (Page 2)

Part of the Design High-Performing Architectures domain, which makes up ~30% of our current practice bank. AWS does not publish an official question count, but from its 130-minute exam (~50–85 total, ~15–26 in this domain), expect 3–5 from this objective — we provide 30 practice questions to prepare you well beyond it. (estimate)

30questions here

6free pages

10concepts

10 Concepts in This Objective

AWS compute services overview
Distributed computing on AWS global infrastructure
Queuing and messaging patterns
Scalability capabilities and use cases
Serverless technologies and patterns
Container orchestration with ECS and EKS
Decoupling workloads for independent scaling
Metrics and conditions for scaling actions
Selecting compute options and features
Selecting resource type and size

Questions 6–10

6foundation · easy
A company needs to run a machine learning inference workload that requires high-performance GPU processing. Which EC2 instance type is most appropriate for this workload?
Select an answer first
7application · medium
An e-commerce application has a front-end web tier and a backend order-processing service. During peak sales events, the front-end can scale out quickly, but the backend service often becomes overwhelmed and drops orders. The company wants to decouple the two tiers so that the front-end can accept orders even when the backend is slow, and the backend can process them at its own pace. Which solution should the company implement?
Select an answer first
8foundation · easy
A company is running a containerized application on AWS Fargate. The application is CPU-intensive and the current task definition allocates 0.25 vCPU and 512 MB memory. The application is experiencing high CPU utilization and performance degradation. Which change to the task definition is most appropriate to improve performance?
Select an answer first
9application · medium
A company has a microservices architecture where a new user signup triggers multiple downstream processes: sending a welcome email, updating a CRM, and generating a report. The company wants to ensure that all downstream processes run concurrently and that a failure in one process does not affect the others. Which solution should the company use?
Select an answer first
10foundation · easy
A company wants to run Docker containers on AWS without managing the orchestration control plane. They need a service that handles task scheduling and cluster management. Which AWS service is designed for this?
Select an answer first

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Task 3.2: Design High-Performing and Elastic Compute Solutions SAA-C03 Practice Questions (Page 2)

Questions 6–10

A company needs to run a machine learning inference workload that requires high-performance GPU processing. Which EC2 instance type is most appropriate for this workload?

A company wants to run Docker containers on AWS without managing the orchestration control plane. They need a service that handles task scheduling and cluster management. Which AWS service is designed for this?

Keep studying — Design High-Performing Architectures