Option A is the correct choice for this use case. Amazon S3 is a highly scalable and durable object storage service that can store large volumes of time-series data. It can handle various data formats and is cost-effective for long-term storage. Amazon EMR, on the other hand, is a powerful data processing and analysis service that can process and analyze data stored in S3 using frameworks like Apache Spark, Hadoop, or PrestoSQL. This combination of services provides a flexible and scalable solution for time-series data storage and analysis. Option B is not suitable for large volumes of time-series data, as RDS is designed for relational databases. Option C is useful for automatic data expiration but does not provide the necessary data processing capabilities. Option D is a good choice for data warehousing and analysis but may not be as cost-effective for large volumes of time-series data.