SAA-C03 · Question #399
A media streaming company is redesigning its infrastructure to accommodate increasing demand for video content that users consume daily. The company needs to process terabyte-sized videos to block som
The correct answer is B. Use Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type to. AWS Lambda is not suitable for long-running jobs that can take up to 20 minutes, as Lambda has a maximum execution duration of 15 minutes. Amazon ECS with AWS Fargate allows you to run containers without managing EC2 instances, providing a scalable and highly available environmen
Question
A media streaming company is redesigning its infrastructure to accommodate increasing demand for video content that users consume daily. The company needs to process terabyte-sized videos to block some content in the videos. Video processing can take up to 20 minutes. The company needs a solution that is cost-effective, highly available, and scalable. Which solution will meet these requirements?
Options
- AUse AWS Lambda functions to process the videos. Store video metadata in Amazon DynamoDB.
- BUse Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type to
- CUse Amazon EMR to process the videos with Apache Spark. Store video content in Amazon FSx
- DDeploy a containerized video processing application on Amazon Elastic Kubernetes Service
How the community answered
(17 responses)- A12% (2)
- B59% (10)
- C6% (1)
- D24% (4)
Explanation
AWS Lambda is not suitable for long-running jobs that can take up to 20 minutes, as Lambda has a maximum execution duration of 15 minutes. Amazon ECS with AWS Fargate allows you to run containers without managing EC2 instances, providing a scalable and highly available environment. You can scale Fargate tasks to handle large and parallel video processing jobs. Amazon Aurora is a highly available, managed relational database. S3 Intelligent-Tiering is cost-effective for storing large video files with variable access
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