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Answer: Use Amazon S3 for data storage, Amazon Kinesis for data ingestion, and AWS Key Management Service (KMS) for data encryption
In this scenario, using Amazon S3 for data storage, Amazon Kinesis for data ingestion, and AWS Key Management Service (KMS) for data encryption would be the most suitable choice. Amazon S3 can handle large volumes of data and provides durability and scalability. Amazon Kinesis can ingest data from multiple sources and supports various data formats. By using AWS KMS, you can ensure data privacy and security by encrypting the data at rest and in transit. This combination of services meets the requirements of the healthcare application while providing a scalable and secure data ingestion pipeline.
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You are designing a data ingestion pipeline for a healthcare application that requires data to be ingested from multiple sources, including medical devices, electronic health records, and wearables. The pipeline should be able to handle high data volumes and ensure data privacy and security. Which AWS service would you choose for this scenario, and how would you design the pipeline to meet the requirements?
A
Use Amazon S3 for data storage, Amazon Kinesis for data ingestion, and AWS Key Management Service (KMS) for data encryption
B
Use Amazon DynamoDB for data storage, AWS Lambda for data processing, and AWS Identity and Access Management (IAM) for access control
C
Use Amazon Redshift for data storage, Amazon Kinesis for data ingestion, and AWS KMS for data encryption
D
Use Amazon RDS for data storage, AWS Lambda for data processing, and AWS KMS for data encryption