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Data Ingestion and TransformationmediumMultiple ChoiceObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

Network Topology
aws glue get-job-runsjob-name my-ETL-joboutput jsonRefer to the exhibit.```"JobRuns": ["Id": "jr_12345","Attempt": 0,"PreviousRunId": "","TriggerName": "On-demand","JobName": "my-ETL-job","StartedOn": "2024-03-15T10:00:00Z","LastModifiedOn": "2024-03-15T10:15:00Z","CompletedOn": "2024-03-15T10:30:00Z","JobRunState": "FAILED",

Refer to the exhibit. A Glue ETL job failed. What is the most likely cause?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Some source files have a different schema than others.

The error 'Cannot merge incompatible schemas' indicates that some source files have a different schema than others, preventing the Glue ETL job from merging them. Option D is wrong because insufficient DPUs cause memory or performance errors, not schema conflicts. Option B is wrong because partition pruning is about filtering data, not schema mismatches. Option C is wrong because job bookmarks track processed files to avoid reprocessing, not schema issues.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Some source files have a different schema than others.

    Why this is correct

    Directly matches the error.

  • The job bookmarks are misconfigured.

    Why it's wrong here

    Bookmarks don't cause schema errors.

  • The source data has inconsistent partitioning.

    Why it's wrong here

    Not related to schema merging.

  • The job ran out of memory due to insufficient DPUs.

    Why it's wrong here

    Memory error would be different.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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