SAA-C03 Question 370
Single answerA company is building a real-time analytics dashboard that processes high-velocity streaming data from IoT sensors installed in manufacturing equipment. The data needs to be ingested continuously, processed with minimal latency, and stored for further analysis. Which AWS service would be the most appropriate for ingesting the streaming data in this scenario?
- A
Amazon Kinesis Data Streams
- B
Amazon S3
- C
Amazon RDS
- D
AWS Batch
Show answer and explanation
Correct answer: A
Explanation
Amazon Kinesis Data Streams is the most suitable service for this scenario because it is purpose-built for ingesting and processing high-velocity streaming data in real-time. This aligns perfectly with the requirement for real-time analytics of IoT sensor data. Other services like Amazon S3, RDS, and AWS Batch do not offer the real-time data ingestion and processing capabilities required for this use case.
- A. Correct.
Amazon Kinesis Data Streams is designed for ingesting and processing high-velocity streaming data in real-time. It is ideal for scenarios like IoT sensor data ingestion and real-time analytics.
- B. Incorrect.
Amazon S3 is a storage service and is not designed for real-time data ingestion or processing. While it can store data for later analysis, it cannot handle continuous, real-time streams effectively.
- C. Incorrect.
Amazon RDS is a relational database service that is not suitable for ingesting high-velocity streaming data in real-time. It is better suited for transactional or traditional database workloads.
- D. Incorrect.
AWS Batch is used for batch processing of tasks and workloads, not for real-time streaming data ingestion or processing. It is not appropriate for this use case.