Domain 3.2: Compute Performance

A company is deploying a tightly coupled High Performance Computing (HPC) application on Amazon EC2. The application requires the lowest possible network latency and highest network throughput between instances. How should the EC2 instances be deployed?

A developer has written an AWS Lambda function that processes images. The function is taking too long to execute, and the developer wants to improve its CPU performance. How can the developer increase the CPU power allocated to the Lambda function?

A company needs to run hundreds of thousands of batch computing jobs. The jobs are packaged as Docker containers. The company wants a service that will dynamically provision the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the submitted jobs. Which service should be used?

A media company is rendering high-resolution 3D animations. The rendering software runs on Amazon EC2 instances and requires extreme network performance and low latency between nodes. Which TWO features should the solutions architect use to maximize network performance? (Select TWO.)

A company is running a high-performance computing (HPC) workload that requires massive amounts of memory to process large datasets in real-time. Which Amazon EC2 instance family should they choose?

A company is migrating a microservices application to AWS using Docker containers. They want to run the containers without having to manage the underlying servers or clusters. Which compute service should they use?

A company is deploying a tightly coupled High Performance Computing (HPC) application on Amazon EC2. The application requires the lowest possible network latency and highest network throughput between instances. How should the instances be deployed?

A scientific research team is running a tightly coupled High Performance Computing (HPC) application on Amazon EC2. The application requires the lowest possible network latency and highest network throughput between instances. How should the instances be deployed?

An application uses AWS Lambda functions to process images uploaded to S3. During marketing campaigns, thousands of images are uploaded simultaneously, causing the Lambda functions to hit the account concurrency limit and throttle other critical Lambda functions. How can this be prevented?

A company is migrating a monolithic application to microservices using Docker containers. They want AWS to manage the container orchestration. They do not want to manage the underlying EC2 instances. Which TWO services should they use together? (Select TWO.)

A company is deploying a high-performance computing (HPC) cluster on AWS. The cluster consists of tightly coupled Amazon EC2 instances that require the lowest possible network latency and highest network throughput between them. <br/><br/>Which TWO configurations should the solutions architect apply? (Select TWO.)

A company is running a containerized application on Amazon Elastic Kubernetes Service (EKS). The application experiences highly variable traffic. The company wants to avoid managing the underlying EC2 instances and only pay for the compute resources the containers actually use. <br/><br/>Which compute option should they choose for their EKS cluster?

A high-performance computing (HPC) application requires tightly coupled EC2 instances with the lowest possible network latency. Another application requires EC2 instances to be placed on distinct underlying hardware to minimize correlated failures. Which TWO placement groups should be used respectively? (Select TWO.)

A serverless application uses AWS Lambda. During sudden traffic spikes, users experience high latency because Lambda functions take time to initialize (cold starts). Which TWO features can be used to mitigate this issue? (Select TWO.)

A company is deploying a tightly coupled High Performance Computing (HPC) application on Amazon EC2. The application requires the lowest possible network latency and highest network throughput between instances.<br/><br/>Which TWO configurations should a solutions architect implement? (Select TWO.)

A developer has written an AWS Lambda function that processes images. The function currently takes 8 seconds to execute. The developer wants to improve the performance and reduce the execution time.<br/><br/>What is the simplest way to increase the CPU power allocated to the Lambda function?

A company has hundreds of EC2 instances. The operations team wants to ensure they are using the most optimal instance types for their workloads, balancing performance and cost. They need automated recommendations based on historical utilization data.<br/><br/>Which AWS service provides these recommendations?

A data science team is running machine learning training jobs on Amazon EC2. The jobs take days to complete. The team wants to significantly reduce the training time by using instances equipped with specialized hardware designed specifically for machine learning acceleration.<br/><br/>Which EC2 instance family should a solutions architect recommend?

A company is running a tightly coupled High Performance Computing (HPC) application on a fleet of EC2 instances. The application requires the lowest possible network latency and highest network throughput between instances. How should the instances be deployed?

A data analytics company needs to process large datasets using Apache Spark. The workload requires instances with a high ratio of memory to vCPU to cache data in memory for fast processing. Which EC2 instance family should they choose?

A company is migrating a containerized web application to AWS. The application experiences sudden, unpredictable spikes in traffic. The company wants a compute solution that scales instantly without the need to manage underlying EC2 instances or cluster capacity. Which service should they use?

An application uses AWS Lambda to process images uploaded to S3. During peak times, users report that image processing takes several seconds longer than usual. CloudWatch metrics show that the Lambda function execution time is increasing. How can a solutions architect improve the performance of the Lambda function?