SAA-C03 Q391 · Compute

Question

A company uses Apache Hadoop and Spark on-prem. The infrastructure is complex and not scalable. They want to reduce operational complexity but keep data processing on-premises. Which solution will meet these requirements?

Accepted Answer

**Option C: Migrate to Amazon EMR on AWS Outposts** satisfies both requirements perfectly:

1. **Reduce operational complexity**: Amazon EMR is a fully managed service that handles the provisioning, configuration, and tuning of Hadoop and Spark clusters. By migrating from self-managed Apache Hadoop/Spark to EMR, the company eliminates the complex infrastructure management burden.

2. **Keep data processing on-premises**: AWS Outposts is a fully managed service that extends AWS infrastructure, services, APIs, and tools to the customer's on-premises facility. EMR running on Outposts means the actual compute and data processing happens physically on-premises, in the customer's data center.

This is the only option that satisfies **both** constraints simultaneously. AWS Outposts is specificall

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🏗️ Architecture

⚙️ Operations

💰 Cost

🔒 Security

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