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Exam AWS Certified Data Engineer - Associate DEA-C01 All Questions

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Exam AWS Certified Data Engineer - Associate DEA-C01 topic 1 question 148 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 148
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

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?

  • 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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Suggested Answer: A 🗳️
by Fawk at Sept. 19, 2024, 2:04 a.m.
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italiancloud2025
2 months, 1 week ago
Selected Answer: A
A: Sí, porque AWS Glue FindMatches utiliza machine learning para deduplicar datos y corregir errores ortográficos con mínima sobrecarga operativa. B: No, usar Athena requiere escribir consultas manuales y no maneja bien las variaciones de escritura. C: No, Neptune ML está orientado a análisis en grafos, no a la deduplicación de datos semi-estructurados. D: No, global tables en DynamoDB se usan para replicación, no para eliminar duplicados.
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Fawk
7 months, 1 week ago
Selected Answer: A
A - The other options are dumb and hardly make sense
upvoted 2 times
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