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DEA-C01 · Question #277

A data engineer needs to analyze time-sensitive sales data. The company stores the data in an Amazon S3 bucket. The data engineer uses AWS Glue Data Catalog to access the data. When the data…

The correct answer is A. AWS Glue Data Catalog is not up to date with the latest S3 partition changes. Missing or outdated records typically occur when the AWS Glue Data Catalog has not been updated to reflect the latest partitions in the Amazon S3 bucket. The catalog must be crawled or updated so queries and analyses can see the most recent data.

Data Store Management

Question

A data engineer needs to analyze time-sensitive sales data. The company stores the data in an Amazon S3 bucket. The data engineer uses AWS Glue Data Catalog to access the data. When the data engineer performs the analysis, the data engineer notices that some records are missing or out of date. What is the likely cause of these issues?

Options

  • AAWS Glue Data Catalog is not up to date with the latest S3 partition changes.
  • BIncorrect IAM roles are assigned to the AWS Glue jobs.
  • CVersioning is not enabled on the S3 bucket.
  • DThe AWS Glue job schedules overlap with one another.

How the community answered

(41 responses)
  • A
    93% (38)
  • B
    5% (2)
  • C
    2% (1)

Explanation

Missing or outdated records typically occur when the AWS Glue Data Catalog has not been updated to reflect the latest partitions in the Amazon S3 bucket. The catalog must be crawled or updated so queries and analyses can see the most recent data.

Topics

#AWS Glue Data Catalog#S3 Data Lake#Data Partitioning#Data Freshness

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