SAA-C03 Question 352
Select 3A company needs to ingest real-time data from IoT sensors deployed across multiple locations. The data must be processed with minimal latency for immediate analysis and stored for historical reporting. Which AWS services combination is the most suitable for this use case?
- A
Amazon Kinesis Data Streams for real-time ingestion and processing
- B
Amazon SQS for real-time ingestion and processing
- C
AWS IoT Core for receiving sensor data and routing it to other AWS services
- D
Amazon Redshift for ingesting real-time data directly
- E
Amazon S3 for storing historical data
Show answer and explanation
Correct answers: A, C, E
Explanation
For real-time data ingestion and processing, Amazon Kinesis Data Streams is the optimal choice. AWS IoT Core facilitates the ingestion of data from IoT sensors, while Amazon S3 provides durable and cost-effective storage for historical data. This combination ensures minimal latency for real-time processing and enables long-term storage for reporting and analysis.
- A. Correct.
Amazon Kinesis Data Streams is designed for real-time data ingestion and processing, making it suitable for handling streaming data from IoT sensors.
- B. Incorrect.
Amazon SQS is a message queue service meant for decoupling applications and not optimized for real-time streaming data ingestion and processing.
- C. Correct.
AWS IoT Core is a managed service that enables IoT devices to send data to AWS, making it a suitable choice for receiving sensor data and forwarding it to other AWS services.
- D. Incorrect.
Amazon Redshift is a data warehousing service meant for analytics and not designed to ingest real-time streaming data directly.
- E. Correct.
Amazon S3 is a highly scalable storage service ideal for archiving historical data for further analysis or reporting.