SAA-C03 Q211 · Analytics

Question

A company needs a solution to ingest streaming sensor data from 100,000 devices, transform the data in near real time, and load the data into Amazon S3 for analysis. The solution must be fully managed, scalable, and maintain sub-second ingestion latency. Which solution will meet these requirements?

Accepted Answer

**Option A: Kinesis Data Streams → Managed Apache Flink → Data Firehose → S3**

Let's match each requirement:

1. **Ingest streaming data from 100,000 devices**: Amazon Kinesis Data Streams is purpose-built for high-throughput, real-time data streaming ingestion. It can handle hundreds of thousands of concurrent producers by scaling the number of shards. Each shard supports 1 MB/sec or 1,000 records/sec ingestion, so you scale horizontally.

2. **Transform data in near real time**: Amazon Managed Service for Apache Flink (formerly Kinesis Data Analytics) is a fully managed service for real-time stream processing. It reads directly from Kinesis Data Streams and can perform complex transformations, aggregations, windowing, and enrichment with sub-second processing latency.

3. **Load into Am

📖 Explanation

✅ Correct Answer

❌ Wrong Answers

📘 Key Concepts

🏗️ Architecture

⚙️ Operations

💰 Cost

🔒 Security

🎯 Exam Tips