An investment company needs to manage and extract insights from a volume of semi-structured data that grows continuously. A data engineer needs to deduplicate the semi-structured data, remove records that are duplicates, and remove common misspellings of duplicates. Which solution will meet these requirements with the LEAST operational overhead?

Topic #: - All AWS Certified Data Engineer - Associate DEA-C01 Questions

A. Use the FindMatches feature of AWS Glue to remove duplicate records.
B. Use non-Windows functions in Amazon Athena to remove duplicate records.
C. Use Amazon Neptune ML and an Apache Gremlin script to remove duplicate records.
D. Use the global tables feature of Amazon DynamoDB to prevent duplicate data.

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