A university research laboratory needs to migrate 30 TB of data from an on-premises Windows file server to Amazon FSx for Windows File Server. The laboratory has a 1 Gbps network link that many other departments in the university share.The laboratory wants to implement a data migration service that will maximize the performance of the data transfer. However, the laboratory needs to be able to control the amount of bandwidth that the service uses to minimize the impact on other departments. The data migration must take place within the next 5 days.Which AWS solution will meet these requirements?
Answer(s): C
AWS DataSync is designed for fast, automated data transfer between on-premises storage and AWS services, including FSx for Windows File Server, with built-in bandwidth throttling to control impact on other networks and accelerated transfer performance suitable for large datasets like 30 TB within tight windows.A) AWS Snowcone is a small, portable edge device for offline data transfer, not suited for high-volume online migration with bandwidth control over a shared link.B) Amazon FSx File Gateway is for cached on-premises access to FSx in the cloud, not optimized for large, full-mesh migrations with strict bandwidth throttling.D) AWS Transfer Family is for SFTP/FTPS/FTP access to S3, not designed for direct FSx migration and bandwidth management in this scenario.
A company wants to create a mobile app that allows users to stream slow-motion video clips on their mobile devices. Currently, the app captures video clips and uploads the video clips in raw format into an Amazon S3 bucket. The app retrieves these video clips directly from the S3 bucket. However, the videos are large in their raw format.Users are experiencing issues with buffering and playback on mobile devices. The company wants to implement solutions to maximize the performance and scalability of the app while minimizing operational overhead.Which combination of solutions will meet these requirements? (Choose two.)
Answer(s): A
Amazon CloudFront provides a globally distributed CDN with edge caching, reducing latency and buffering for mobile clients when streaming video from S3, improving playback performance and scalability with minimal operational overhead.A) Correct. CloudFront accelerates delivery of large media by caching at edge locations, reducing round trips to S3.B) DataSync replicates data between regions, not optimizing playback or streaming; it adds overhead and isn’t needed for performance in playback.C) Elastic Transcoder can convert formats but is a fully managed service that increases processing, not essential if CloudFront caching already helps; also introduces latency for conversion.D) Auto Scaling EC2 in Local Zones for caching is unnecessary complexity; CloudFront already provides caching at edge locations.E) EC2-based transcoding adds operational overhead and scaling concerns; CloudFront handles delivery efficiency more effectively.
A company is launching a new application deployed on an Amazon Elastic Container Service (Amazon ECS) cluster and is using the Fargate launch type for ECS tasks. The company is monitoring CPU and memory usage because it is expecting high traffic to the application upon its launch. However, the company wants to reduce costs when utilization decreases.What should a solutions architect recommend?
Answer(s): D
Using AWS Application Auto Scaling with target tracking policies allows ECS Fargate services to scale in response to utilization metrics (CPU/memory) and automatically adjust desired count to maintain a target value, reducing costs during low utilization without manual intervention.A) Incorrect: EC2 Auto Scaling applies to EC2 instances, not Fargate tasks; cannot manage ECS service scaling for Fargate.B) Incorrect: Lambda reacting to CloudWatch alarms is a more complex, less scalable pattern for ECS service scaling and not designed for native service auto scaling.C) Incorrect: Simple scaling policies via EC2 Auto Scaling are for EC2 instances, not for ECS/Fargate services; not appropriate for Fargate.D) Correct: Application Auto Scaling supports ECS services with target-tracking policies and integrates with CloudWatch metrics to maintain target utilization.
A company recently created a disaster recovery site in a different AWS Region. The company needs to transfer large amounts of data back and forth between NFS file systems in the two Regions on a periodic basis.Which solution will meet these requirements with the LEAST operational overhead?
The correct answer is A) Use AWS DataSync. DataSync is purpose-built for high-performance, automated data transfer between on-premises storage or NFS file systems across regions with minimal operational overhead, including scheduling, incrementals, and secure transfers. It supports large-scale transfers and ongoing synchronization, ideal for DR scenarios requiring periodic data movement.B) Snowball is a physical device for bulk transfers, not suitable for ongoing periodic synchronization with low overhead. C) EC2 SFTP adds management overhead and is not optimized for large-scale, automated NFS-to-NFS data transfer. D) DMS is for database migrations, not file-system or NFS data replication.
A company is designing a shared storage solution for a gaming application that is hosted in the AWS Cloud. The company needs the ability to use SMB clients to access data. The solution must be fully managed.Which AWS solution meets these requirements?
A short, fully managed SMB-compatible shared storage solution is provided by FSx for Windows File Server, which delivers Windows-native file shares (SMB) with automatic management and scalability. Therefore option C is correct.A) DataSync is for data transfer/replication, not for hosting a persistent SMB file share in a fully managed service.B) EC2 Windows with a self-managed file share requires manual maintenance and is not a managed service.D) S3 is object storage with no native SMB mount; mounting to SMB clients is not supported natively and requires extra layers.
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