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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 117 discussion

Exam question from Amazon's AWS Certified Data Engineer - Associate DEA-C01
Question #: 117
Topic #: 1
[All AWS Certified Data Engineer - Associate DEA-C01 Questions]

A data engineer is building an automated extract, transform, and load (ETL) ingestion pipeline by using AWS Glue. The pipeline ingests compressed files that are in an Amazon S3 bucket. The ingestion pipeline must support incremental data processing.

Which AWS Glue feature should the data engineer use to meet this requirement?

  • A. Workflows
  • B. Triggers
  • C. Job bookmarks
  • D. Classifiers
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Suggested Answer: C 🗳️
by Bmaster at June 29, 2024, 9:51 a.m.
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andrologin
9 months, 3 weeks ago
Selected Answer: C
C AWS GLue bookmarks are used to implement incremental processing
upvoted 2 times
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Ja13
10 months ago
Selected Answer: C
C. Job bookmarks Here's why job bookmarks are the appropriate feature: Incremental Processing: Job bookmarks in AWS Glue help track the last processed state of data in Amazon S3. They enable the ETL job to resume from where it left off in case of interruptions or subsequent runs, ensuring that only new or modified data since the last successful run is processed (incremental processing). Automated ETL: Job bookmarks work seamlessly within AWS Glue ETL jobs, allowing the job to efficiently manage the state of processed data without the need for manual intervention. Support for Compressed Files: AWS Glue natively supports reading compressed files from Amazon S3, so the ingestion pipeline can handle compressed data formats efficiently.
upvoted 1 times
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HunkyBunky
10 months, 1 week ago
Selected Answer: C
C - is right
upvoted 1 times
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Bmaster
10 months, 1 week ago
C is correct answer.. https://docs.aws.amazon.com/glue/latest/dg/monitor-continuations.html
upvoted 4 times
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