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Amazon

MLS-C01 · Question #158

A company needs to quickly make sense of a large amount of data and gain insight from it. The data is in different formats, the schemas change frequently, and new data sources are added regularly…

The correct answer is C. AWS Glue for data discovery, enrichment, and transformation. Glue, Athena and Quicksight are serverless and need little code (only SQL).

Data Engineering

Question

A company needs to quickly make sense of a large amount of data and gain insight from it. The data is in different formats, the schemas change frequently, and new data sources are added regularly. The company wants to use AWS services to explore multiple data sources, suggest schemas, and enrich and transform the data. The solution should require the least possible coding effort for the data flows and the least possible infrastructure management. Which combination of AWS services will meet these requirements?

Options

  • AAmazon EMR for data discovery, enrichment, and transformation
  • BAmazon Kinesis Data Analytics for data ingestion
  • CAWS Glue for data discovery, enrichment, and transformation
  • DAWS Data Pipeline for data transfer

How the community answered

(45 responses)
  • A
    11% (5)
  • B
    4% (2)
  • C
    82% (37)
  • D
    2% (1)

Explanation

Glue, Athena and Quicksight are serverless and need little code (only SQL).

Topics

#AWS Glue#ETL#Serverless#Schema Inference

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