SAA-C03 Q434 · Compute

Question

A streaming media company is rebuilding 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 will scale with demand and remain cost-effective. Which solution will meet these requirements?

Accepted Answer

**Option B: ECS + Fargate + Aurora + S3 Intelligent-Tiering** satisfies every requirement:

1. **Terabyte-sized video processing**: ECS with Fargate allows you to define containers with significant CPU and memory (up to 16 vCPU and 120 GB memory per task). Unlike Lambda, there are no strict payload size limits or 15-minute execution timeouts.

2. **Processing up to 20 minutes**: Fargate tasks can run for as long as needed — there is no execution time limit like Lambda's 15-minute cap. This comfortably handles 20-minute processing jobs.

3. **Scales with demand**: ECS with Fargate supports **auto-scaling** based on metrics like CPU utilization, number of tasks, or custom CloudWatch metrics. Fargate is serverless — AWS manages the underlying infrastructure, so scaling is seamless.

4. **Cost

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📘 Key Concepts

🏗️ Architecture

⚙️ Operations

💰 Cost

🔒 Security

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