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Answer: Using Amazon Kinesis Data Streams to transfer data to Amazon DynamoDB.
The correct answer is option B: Using Amazon Kinesis Data Streams to transfer data to Amazon DynamoDB. This option leverages the real-time capabilities of Kinesis Data Streams for data streaming and DynamoDB's ability to store data without fixed schemas. Kinesis Data Streams can handle continuous real-time data, making it suitable for sensor data, and DynamoDB is a NoSQL database that supports dynamic schemas.
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A company collects environmental data from sensors across a city in JSON format and requires an AWS solution for real-time data transfer to a database without fixed schemas. Which AWS service combination is most suitable for this task?
A
Using Amazon Kinesis Data Firehose to transfer data to Amazon Redshift.
B
Using Amazon Kinesis Data Streams to transfer data to Amazon DynamoDB.
C
Using Amazon Managed Streaming for Apache Kafka (Amazon MSK) to transfer data to Amazon Aurora.
D
Using Amazon Kinesis Data Firehose to transfer data to Amazon Keyspaces (for Apache Cassandra).
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