A solutions architect observes that a nightly batch processing job is automatically scaled up for 1 hour before the desired Amazon EC2 capacity is reached. The peak capacity is the ‘same every night and the batch jobs always start at 1 AM. The solutions architect needs to find a cost-effective solution that will allow for the desired EC2 capacity to be reached quickly and allow the Auto Scaling group to scale down after the batch jobs are complete.What should the solutions architect do to meet these requirements?
Answer(s): C
The correct answer is C.A) Increasing minimum capacity would keep more instances running continuously, increasing cost, and does not guarantee rapid alignment with a specific daily schedule.B) Increasing maximum capacity allows more instances but does not ensure timely scaling at a fixed start time and may still incur delays.D) Changing the scaling policy to add more instances per operation can help, but without a scheduled trigger, it may not align precisely with the 1 AM start time and could overshoot costs.C) Scheduling a scale action at 1 AM ensures the desired compute level is ready exactly when the batch runs, enabling quick capacity and prompt scale-down after completion.
A company serves a dynamic website from a fleet of Amazon EC2 instances behind an Application Load Balancer (ALB). The website needs to support multiple languages to serve customers around the world. The website’s architecture is running in the us-west-1 Region and is exhibiting high request latency for users that are located in other parts of the world.The website needs to serve requests quickly and efficiently regardless of a user’s location. However, the company does not want to recreate the existing architecture across multiple Regions.What should a solutions architect do to meet these requirements?
Answer(s): B
CloudFront with the ALB as the origin provides edge caching and latency reduction without rearchitecting the existing multi-tier setup, and it can cache responses based on Accept-Language to serve localized content globally. A) S3/CloudFront would not preserve dynamic ALB-backed application behavior and Language negotiation may fail. C) API Gateway with HTTP integration adds complexity and API caching does not suit a full web tier behind ALB. D) Multi-region EC2 + Route 53 geolocation increases cost and management overhead without leveraging edge caching of the dynamic site. B) correctly leverages CDN caching at edge with existing ALB.
A rapidly growing ecommerce company is running its workloads in a single AWS Region. A solutions architect must create a disaster recovery (DR) strategy that includes a different AWS Region. The company wants its database to be up to date in the DR Region with the least possible latency. The remaining infrastructure in the DR Region needs to run at reduced capacity and must be able to scale up if necessary.Which solution will meet these requirements with the LOWEST recovery time objective (RTO)?
A) The correct choice is B.B) Aurora Global Database with a warm standby provides near real-time cross-region replication for the primary DB, keeping the DR region up-to-date with low latency for writes/failover, while non-critical DR infrastructure can scale up as needed.A) Aurora global with pilot light keeps minimal DR resources and relies on original-region data; switchover/write capability in DR is slower, increasing RTO.C) RDS Multi-AZ is within a single region; using pilot light in another region is not applicable for cross-region DR with low-latency DB updates.D) RDS Multi-AZ with warm standby does not span regions; still limited to a single region for primary/failover, not suitable for cross-region DR with low RTO.
A company runs an application on Amazon EC2 instances. The company needs to implement a disaster recovery (DR) solution for the application. The DR solution needs to have a recovery time objective (RTO) of less than 4 hours. The DR solution also needs to use the fewest possible AWS resources during normal operations.Which solution will meet these requirements in the MOST operationally efficient way?
A) Wrong: Lambda with custom scripts is less scalable and slower to ensure consistent DR infrastructure; lacks automated, repeatable deployment and may require more maintenance than CloudFormation for full stack recovery.B) Correct: AMIs copied to a secondary region plus CloudFormation automates full stack re-provisioning in a different region, meeting RTO<4 hours with minimal ongoing resources in normal operations.C) Wrong: Keeping active EC2s in a secondary region incurs constant resource usage and cost; increases DR readiness but reduces efficiency and violates “fewest resources during normal operations.”D) Wrong: Using a secondary AZ does not provide cross-region DR and does not satisfy RTO in case of a regional outage; DR requires a separate region for DR.
A company runs an internal browser-based application. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. The Auto Scaling group scales up to 20 instances during work hours, but scales down to 2 instances overnight. Staff are complaining that the application is very slow when the day begins, although it runs well by mid-morning.How should the scaling be changed to address the staff complaints and keep costs to a minimum?
A) Implement a scheduled action that sets the desired capacity to 20 shortly before the office opens.B) Implement a step scaling action triggered at a lower CPU threshold, and decrease the cooldown period.C) Implement a target tracking action triggered at a lower CPU threshold, and decrease the cooldown period.D) Implement a scheduled action that sets the minimum and maximum capacity to 20 shortly before the office opens.C: Target tracking maintains a target average CPU utilization, ensuring the ASG adjusts to meet demand smoothly as users begin work, preventing cold-start latency while scaling down when load drops. A and D rely on fixed capacity, causing unnecessary cost or insufficient warm-up. B uses step scaling with a fixed threshold and may not mirror traffic patterns as well as target tracking, risking slow startup.
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