A hospital uses wearable medical sensor devices to collect data from patients. The hospital is architecting a near-real-time solution that can ingest the data securely at scale. The solution should…

Question

Options

• AIngest the data using Amazon Kinesis Data Streams, which invokes an AWS Lambda function
• BIngest the data using Amazon Kinesis Data Firehose to write the data to Amazon S3. Have
• CIngest the data using Amazon Kinesis Data Streams to write the data to Amazon S3. Have the
• DIngest the data using Amazon Kinesis Data Firehose to write the data to Amazon S3. Implement

• A
  3% (1)
• B
  8% (3)
• C
  19% (7)
• D
  69% (25)

Explanation

Amazon Kinesis Data Firehose is a fully managed streaming service that requires zero infrastructure management, making it the lowest-operational-overhead option. Firehose natively supports data transformation via AWS Lambda as part of the delivery pipeline - you configure a Lambda function to process each record (removing PHI) before Firehose writes the sanitized data to Amazon S3. S3 provides durable, highly available storage. This end-to-end solution (Firehose → Lambda transform → S3) requires no servers to manage, no consumer application code, and no scaling configuration. Option A uses Kinesis Data Streams, which requires building and managing a custom consumer application. Option C also uses Kinesis Data Streams, adding more operational burden. Option B uses Firehose but stores untransformed data first, which risks PHI exposure before the downstream process removes it.

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