Design High-Performing Architectures

A team runs a stateless web app on Amazon EC2 behind an Application Load Balancer. During traffic spikes, new EC2 instances take several minutes to finish bootstrapping before they can receive traffic. Which Auto Scaling configuration most directly reduces the time until additional capacity is available?

A company is designing a high-performance database architecture for an e-commerce platform that experiences rapid spikes in read traffic during flash sales. The database must handle millions of reads per second with sub-millisecond latency. The data is key-value in nature, with a small number of attributes per item. Which three options should be included in the architecture? (Choose three.)

A team serves static assets from an S3 origin through CloudFront. Cache hit ratio is low. Analytics show that requests include an Authorization header (even though the assets are public) and the cache key currently varies on that header, causing CloudFront to treat the same asset as different cache entries. What is the best change to improve cache hit ratio without breaking access controls?

A company runs a stateless web API on Amazon EC2 behind an Application Load Balancer. The team notices that during business hours, the ALB starts queueing requests and the average request latency rises. They want to scale out quickly and reliably based on demand, not CPU alone. Which Auto Scaling approach best matches this requirement?

Based on the exhibit, the team wants to improve application performance without changing the code. Which EC2 instance family should they choose next?

Your company needs a high-throughput, low-latency TCP service using a custom binary protocol. Requirements: preserve the original client source IP for rate limiting, keep latency minimal, and use TCP health checks. The current setup uses an Application Load Balancer and performance is inconsistent. Which load balancer choice best meets these requirements?

A company runs a stateless application tier behind an Application Load Balancer. Match each observed scaling pattern on the left to the best Auto Scaling strategy or metric on the right.

A high-volume telemetry pipeline writes streaming click events that must be processed by multiple independent consumers. Which service is most appropriate?

A system uses multiple AWS Lambda functions behind different event sources. One Lambda occasionally spikes and causes other Lambdas to be throttled due to shared concurrency limits. Which setting best helps ensure the important Lambda keeps capacity during spikes?

A global video platform serves mostly static images and JavaScript files from an S3 origin. Users in distant countries report slow load times. What should improve performance most? The architecture review board prefers a managed AWS-native control.

A DynamoDB table stores device status items. The partition key is deviceId, and the partition distribution is healthy (no single partition dominates). However, during peak periods the application experiences high read latency because many clients repeatedly request the latest status for the same devices. Which action best improves read latency without changing the DynamoDB partitioning model?

A containerized service fleet running on EC2 instances needs to share user-uploaded files and access them with low latency. The workload is bursty: sometimes dozens of instances concurrently read the same directory for short periods, and then traffic drops. Which Amazon EFS configuration best matches these performance needs?

A customer-facing application has a relational data model and needs frequent complex queries (joins and aggregations), but it also experiences a significant read-heavy workload. Which design choice best improves read performance while keeping relational features?

A DynamoDB table for a travel booking site has a partition key based only on the current date. Write throttling occurs during business hours. What is the best design change? The design must avoid adding custom operational scripts.

A retail analytics table stores events in Amazon DynamoDB with partition key tenantId and sort key eventTime. During a promotion, one tenant generates most writes and repeatedly polls the same latest-status items, causing throttling on a single partition key and high latency on reads. The business can tolerate read results that are a few seconds stale. Which two changes will most effectively reduce throttling and latency? Select two.

A media company serves versioned JavaScript and CSS files from Amazon S3 through CloudFront. After each release, the cache hit ratio drops sharply because the same distribution also fronts a personalized API path, and the current cache policy forwards cookies, all query strings, and several headers to every origin request. The static assets already use content-hashed filenames. Which two changes will most directly improve cache hit ratio for the static assets without changing the application behavior? Select two.

A media archive needs low-latency full-text search across product descriptions and filtered attributes. Which managed service is most suitable? The design must avoid adding custom operational scripts.

Based on the exhibit, which storage choice best matches the workload requirements?

Based on the exhibit, which design change is the best way to reduce the observed read latency for this DynamoDB-backed service?

A latency-sensitive video platform uploads large files to S3 from users around the world. Which two features can improve upload performance? The architecture review board prefers a managed AWS-native control.

A compute workload uses temporary scratch space for intermediate results (reproducible), and it can tolerate data loss if the instance is terminated. The workload benefits from very high local I/O throughput. Which storage option is the best fit for the scratch data?

A global mobile game backend serves mostly static images and JavaScript files from an S3 origin. Users in distant countries report slow load times. What should improve performance most? The architecture review board prefers a managed AWS-native control.

A high-volume analytics dashboard writes streaming click events that must be processed by multiple independent consumers. Which service is most appropriate?

Your company currently uses an Application Load Balancer (ALB) in front of a service that receives a large number of TCP and UDP packets (including UDP-based telemetry). During load tests, you need to support both TCP and UDP traffic at high throughput while keeping stable IP endpoints for a downstream firewall allowlist. Which change best meets these requirements?

Based on the exhibit, which change best reduces latency during peak traffic without overprovisioning the fleet?

A web service runs on an Auto Scaling group (ASG). The team updates configuration (AMIs, environment variables) in a Launch Template and wants new instances created during scale-out to use the latest Launch Template version. What should the architect do?

A distributed analytics engine runs 12 EC2 instances in one Availability Zone. The nodes exchange thousands of tiny messages per second and must keep jitter as low as possible. The current design launches the instances across multiple placement groups and uses general-purpose burstable instances. Which two changes will most directly lower east-west network latency and variability? Select two.

A media processing service runs ECS tasks in multiple Availability Zones. Each task must read and write the same shared filesystem with low latency because tasks stream intermediate artifacts to other tasks. The team currently mounts an EBS volume per task, and cross-AZ tasks frequently cannot see each other’s files. Which option best resolves the shared filesystem requirement while supporting high-performing access?

A media company uses CloudFront in front of an S3 bucket origin for video thumbnails. They want to prevent users from bypassing CloudFront and accessing the S3 bucket directly, while still allowing CloudFront to fetch objects. What is the best option?

An ECS service runs on EC2 capacity. During peak traffic, tasks frequently wait for available container instances. The team wants faster scale-out for the underlying EC2 capacity when tasks increase. What is the best first architectural step?

Based on the exhibit, which AWS feature should the team use to minimize network latency between EC2 instances that exchange messages very frequently?

A media processing pipeline uses EBS-backed storage for an application that performs sustained random I/O with low latency requirements. During peak processing windows, the team sees increased read latency and occasional timeouts at the application layer. They need predictable, high IOPS performance rather than best-effort throughput. Which EBS configuration choice is most appropriate?

A media company is designing a high-performance architecture to serve video content to users worldwide. The solution must minimize latency for end users and reduce the load on the origin servers. The video files are stored in an Amazon S3 bucket. Which three options should be combined to meet these requirements? (Choose three.)

A serverless checkout API uses AWS Lambda behind API Gateway. Every weekday at 09:00 UTC, marketing triggers a predictable surge. The first few minutes after each surge show cold-start latency, but traffic volume is forecastable and the business wants stable p95 latency. Which two changes should the team implement? Select two.

A retail analytics app uses Amazon RDS for PostgreSQL. Read traffic is growing, and the database CPU spikes mainly due to SELECT-heavy workloads. Writes are less frequent, and the app can tolerate eventually consistent reads for the reports. What is the most appropriate AWS-native way to improve read performance with minimal application changes?

A partner integration sends a custom binary TCP protocol to a service running on EC2 instances in private subnets. The partners require static endpoint IPs for allowlisting, and the application must see the original client source IP for rate limiting. Which two changes best fit the protocol and network requirements? Select two.

A distributed system needs extremely low network latency between a set of EC2 instances running the same workload. The team wants the instances to be placed as close together as AWS allows to reduce round-trip time. Which placement strategy should the architect use?

A high-volume telemetry pipeline writes streaming click events that must be processed by multiple independent consumers. Which service is most appropriate? The architecture review board prefers a managed AWS-native control.

A retail API uses EC2 instances behind an ALB. CPU is consistently high during peak traffic, and request latency rises. What should be configured?

You run a web application on an EC2 Auto Scaling group behind an Application Load Balancer (ALB). During scheduled traffic spikes, new instances launch but customers occasionally see 5xx errors for the first few minutes after scale-out. Operational logs show instances need ~4 minutes to warm up (load caches and initialize dependencies). ALB target health becomes healthy only after this warm-up. Which change most directly improves performance during spikes by reducing the time to serve traffic after scaling?

A telemetry pipeline uses RDS MySQL and receives many read-only reporting queries that slow down the primary database. What should the architect add?

A company serves public JavaScript and CSS files from S3 using CloudFront. After a frontend change, customers report a low CloudFront cache hit ratio. Requests now include an Authorization header, but these assets do not require authentication. The CloudFront distribution is configured such that Authorization is included in the cache key. Which change best maximizes cache reuse?

An order lookup API repeatedly reads the same few items from DynamoDB. The application can tolerate slightly stale data for a few seconds, and the team wants the lowest-latency design with minimal application changes. Which two changes should they make? Select two.

Based on the exhibit, a static asset distribution site uses Amazon CloudFront with an S3 origin. The assets are versioned by filename, but the cache hit ratio remains low after each release. Which CloudFront change is the best way to improve cache reuse without changing the origin objects?

Based on the exhibit, what is the best change to improve read performance without increasing write latency on the primary database?

A nightly video rendering pipeline runs on Linux EC2 instances and is compatible with ARM64. The jobs are CPU-bound, checkpoint frequently, and can resume if interrupted. The business wants the best throughput per dollar for the batch window. Which two changes should the team make? Select two.

A read-heavy media archive repeatedly queries the same product catalogue data from DynamoDB with millisecond latency requirements. Which service can reduce read latency and table load? The design must avoid adding custom operational scripts.

A serverless API built with AWS Lambda serves latency-sensitive requests. The team observes intermittent slow responses during traffic ramp-ups and expects some users to hit the API immediately after a period of inactivity. Which configuration best reduces cold-start latency during these ramp-ups?

A analytics dashboard uses RDS MySQL and receives many read-only reporting queries that slow down the primary database. What should the architect add? The team wants the control to be enforceable during normal operations.

Based on the exhibit, which Amazon EFS performance mode is the best fit for this workload?

Your application uses ElastiCache Redis as a cache for user profiles stored in DynamoDB. You must ensure that when a profile is updated, subsequent reads see the latest value quickly. Which cache strategy is generally the best fit for this requirement?

Based on the exhibit, which change will most improve the CloudFront cache hit ratio for the static assets while still serving the same files to all users?

A analytics dashboard uses an Application Load Balancer in one Region. Global users need lower network latency to the application without caching dynamic responses. What should be considered? The design must avoid adding custom operational scripts.

A DynamoDB table for a travel booking site has a partition key based only on the current date. Write throttling occurs during business hours. What is the best design change? The architecture review board prefers a managed AWS-native control.

Based on the exhibit, which storage design best supports the application servers' shared working directory requirement?

A DynamoDB table for a retail API has a partition key based only on the current date. Write throttling occurs during business hours. What is the best design change?

A serverless checkout API runs on AWS Lambda behind API Gateway. Traffic spikes are predictable every weekday at 09:00 UTC, and p95 latency jumps for the first few minutes after each deployment because execution environments are cold. The team wants to reduce this startup impact without changing the API contract. Which changes should they make? Select three.

Based on the exhibit, an application runs on Amazon Aurora MySQL. The writer instance is frequently near 85% CPU while the reader instance is under 20% CPU. Application traces show that most of the database traffic is read-only SELECT queries, but the code currently sends all queries to the writer endpoint. What should the solutions architect recommend to improve performance with the smallest functional change?

A DynamoDB-backed event processing system experiences throttling during a promotion. All events are written and read using the same partition key value (tenantId = "ACME"). The workload is time-ordered per tenant, and the application can tolerate slight reordering across partitions. Which design change will most directly increase throughput and reduce hot-partition throttling?

A mobile game backend uses Amazon Aurora. The workload has many short-lived database connections from Lambda functions, causing connection storms. What should be added?

A new feature stores user events in DynamoDB. Each event must be fetched by user_id and sorted by event_time. The team expects many different users and wants to avoid a single hot partition. Which partition key design is best?

Based on the exhibit, which design change is the best way to reduce the observed read latency for this DynamoDB-backed service?

A media platform runs a CPU-heavy thumbnail generation workload on an EC2 Auto Scaling group using t3.large instances. During peak traffic, p95 processing time increases significantly even though average CPU remains around 40–50%. CloudWatch also shows CPU credit depletion behavior. Which change will most directly improve performance predictability for this workload?

A DevOps team is designing a high-performance CI/CD pipeline to build and test code changes. The pipeline needs to scale to handle hundreds of concurrent builds, with fast build times and minimal idle compute cost. The builds are containerized and require consistent, reproducible environments. Which three options should be used to meet these requirements? (Choose three.)

Based on the exhibit, which EBS volume type should the team use to meet the performance need at lower cost than overprovisioning capacity?

Based on the exhibit, what change best reduces Lambda cold-start impact for a predictable user-upload workflow?

An ECS service runs on EC2 capacity. During peak traffic, tasks frequently wait for available container instances. The team wants faster scale-out for the underlying EC2 capacity when tasks increase. What is the best first architectural step?

A startup runs an HTTP/2 API that also supports WebSocket connections. They need path-based routing to separate microservices (for example, /api/* to Service A and /metrics/* to Service B) and want TLS terminated at the load balancer. Which AWS option best meets these requirements while maintaining high request performance?

A team runs a latency-sensitive service on EC2 and needs consistent, low-latency block storage for a database. The application requires predictable performance and should be fast for random reads/writes. Which EBS volume type is the best choice?

A read-heavy document portal repeatedly queries the same product catalogue data from DynamoDB with millisecond latency requirements. Which service can reduce read latency and table load? The team wants the control to be enforceable during normal operations.

A web API runs on an Auto Scaling group (ASG) behind an Application Load Balancer (ALB). During traffic spikes, users experience request timeouts even though CPU stays below 40%. After investigation, you find the ASG often has too few healthy targets to handle the current request rate. Which change will best improve responsiveness during spikes?

A Lambda-based travel booking site has unpredictable traffic spikes and users see latency caused by cold starts. The function must respond consistently during expected campaign windows. What should be configured?

A site serves static assets (JS/CSS) through CloudFront from an S3 origin. After a recent frontend change, CloudFront shows a cache hit ratio below 20%. In CloudFront access logs, requests to the same asset URL path differ by a query parameter named rnd (a random value appended by the app on every request). The origin content is identical regardless of rnd. What is the best CloudFront configuration change to restore effective caching?

A company is designing a high-performance web application that serves static and dynamic content to a global user base. The application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The static assets are stored in an S3 bucket. Which three architecture decisions will improve performance and reduce latency for users? (Choose three.)

An application uses Amazon Aurora MySQL. CloudWatch shows the writer instance near 85% CPU while the only reader instance averages 15% CPU. Trace logs show that all SELECT statements still target the writer endpoint. The workload is read-heavy, and the application already tolerates eventual consistency for reads. Which two changes will best increase total read throughput without a schema redesign? Select two.

A mobile game backend uses Amazon Aurora. The workload has many short-lived database connections from Lambda functions, causing connection storms. What should be added? The design must avoid adding custom operational scripts.

A marketing team uses CloudFront with an S3 origin to serve a single-page web app. After a release, CloudFront cache hit ratio dropped sharply. The app requests the same static JS and CSS assets, but each request includes a unique tracking query parameter (for example, ?utm_source=campaign123, campaign456, etc.). You want CloudFront to cache those assets efficiently even when the tracking query parameter changes. What should you do?

A travel booking site uses EC2 instances behind an ALB. CPU is consistently high during peak traffic, and request latency rises. What should be configured?

Based on the exhibit, a single EC2 instance hosts a latency-sensitive cache that performs sustained random reads and writes to persistent block storage. The current EBS volume is a general-purpose SSD, but BurstBalance is repeatedly depleted and p95 I/O latency has risen above 20 ms. The workload needs more than 16,000 sustained IOPS. Which change is the best fix?

Multiple EC2 instances in different Availability Zones need concurrent read/write access to the same shared files. The files are actively modified by several application servers, and low-latency metadata operations matter more than extremely high aggregate throughput. Which two changes should the team make? Select two.

A company serves mostly static images and JavaScript files from an origin in one AWS Region. They want to reduce origin load and improve global performance. Which change most directly increases cache-hit ratio for static assets while avoiding stale content?

A DynamoDB table uses this schema: partition key = customerId, sort key = timestamp. During a marketing campaign, one customer generates extremely high read traffic and the application sees ProvisionedThroughputExceeded errors even though the table’s total capacity is sufficient. What change most directly improves read distribution across partitions?

A document portal requires consistent high IOPS for a transactional database on EC2. Which EBS volume type is most suitable?

A global video platform serves mostly static images and JavaScript files from an S3 origin. Users in distant countries report slow load times. What should improve performance most?

Based on the exhibit, what change should the team make to achieve the lowest possible network latency for the distributed workload?

Your mobile app writes events to a single DynamoDB table with partition key = customerId and sort key = eventTime. During a promotional campaign, one tenant ("ACME") generates far more traffic than others. CloudWatch shows sustained throttling (ProvisionedThroughputExceeded) and elevated p99 latency only for that tenant. The workload pattern cannot be changed to a completely different schema, but you can change how items are partitioned. Which design change is most likely to reduce the hot-partition throttling while keeping efficient reads for ACME?

An Aurora PostgreSQL cluster is experiencing high read latency because 85% of traffic consists of read-only queries. The write workload must stay on the writer instance, and the team wants to offload reads without changing the application’s core query patterns. What is the best architectural option?

An event ingestion service writes to a DynamoDB table where the partition key is tenantId and the sort key is eventTime. During a campaign, one tenant generates a disproportionate share of traffic, causing write throttling and increased latency for that tenant’s writes. You can change the data model and application queries, but you must still efficiently retrieve events for a tenant for the last 10 minutes. Which change best improves write throughput by reducing hot partitions?