MLS-C01 · Question #167
A retail company wants to combine its customer orders with the product description data from its product catalog. The structure and format of the records in each dataset is different. A data analyst…
The correct answer is D. Create an AWS Lake Formation custom transform. AWS Lake Formation FindMatches is a new machine learning (ML) transform that enables you to match records across different datasets as well as identify and remove duplicate records, with little to no human intervention. https://aws.amazon.com/lake-formation/features/
Question
A retail company wants to combine its customer orders with the product description data from its product catalog. The structure and format of the records in each dataset is different. A data analyst tried to use a spreadsheet to combine the datasets, but the effort resulted in duplicate records and records that were not properly combined. The company needs a solution that it can use to combine similar records from the two datasets and remove any duplicates. Which solution will meet these requirements?
Options
- AUse an AWS Lambda function to process the data.
- BCreate AWS Glue crawlers for reading and populating the AWS Glue Data Catalog.
- CCreate AWS Glue crawlers for reading and populating the AWS Glue Data Catalog.
- DCreate an AWS Lake Formation custom transform.
How the community answered
(26 responses)- A4% (1)
- B8% (2)
- C12% (3)
- D77% (20)
Explanation
AWS Lake Formation FindMatches is a new machine learning (ML) transform that enables you to match records across different datasets as well as identify and remove duplicate records, with little to no human intervention. https://aws.amazon.com/lake-formation/features/
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