An Ecommerce Company Stores Customer Purchase Data in Amazon RDS

question 34

Multiple Choice

An ecommerce company stores customer purchase data in Amazon RDS. The company wants a solution to store and analyze historical data. The most recent 6 months of data will be queried frequently for analytics workloads. This data is several terabytes large. Once a month, historical data for the last 5 years must be accessible and will be joined with the more recent data. The company wants to optimize performance and cost. Which storage solution will meet these requirements?

• A) Create a read replica of the RDS database to store the most recent 6 months of data. Copy the historical data into Amazon S3. Create an AWS Glue Data Catalog of the data in Amazon S3 and Amazon RDS. Run historical queries using Amazon Athena.
• B) Use an ETL tool to incrementally load the most recent 6 months of data into an Amazon Redshift cluster. Run more frequent queries against this cluster. Create a read replica of the RDS database to run queries on the historical data.
• C) Incrementally copy data from Amazon RDS to Amazon S3. Create an AWS Glue Data Catalog of the data in Amazon S3. Use Amazon Athena to query the data.
• D) Incrementally copy data from Amazon RDS to Amazon S3. Load and store the most recent 6 months of data in Amazon Redshift. Configure an Amazon Redshift Spectrum table to connect to all historical data.

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Definitions:

Accumulated Depreciation

The total depreciation for a fixed asset that has been charged to expense since that asset was acquired and made available for use.

Cash Price

The price of an item for immediate payment, as opposed to a higher price when paying on credit.

Productivity

A measure of efficiency, typically defined as the output of goods or services produced per unit of input, such as labor or capital.

Salvage Value

The forecasted remaining worth of an asset after its period of functionality has ended.