An IoT application receives thousands of sensor readings per second. The data needs to be ingested in real-time, buffered, and then loaded into an Amazon Redshift data warehouse for analysis. <br/><br/>Which combination of AWS services should be used to build this ingestion pipeline with the LEAST operational overhead?

Answer options:

Amazon SQS queue triggering an AWS Lambda function that writes to Redshift

Amazon Kinesis Data Streams triggering an AWS Lambda function that writes to Redshift

Amazon Kinesis Data Firehose delivering directly to Amazon Redshift

AWS IoT Core rules engine writing directly to Amazon Redshift

How to approach this question

Identify the managed service designed for loading streaming data into data stores.

Full Answer

C.Amazon Kinesis Data Firehose delivering directly to Amazon Redshift✓ Correct

Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores, and analytics services. It can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and custom HTTP endpoints.

Common mistakes

Choosing Kinesis Data Streams, which requires custom consumer applications to process and load the data.

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