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Data Ingestion and TransformationeasyMultiple SelectObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

A company is using AWS Glue to catalog data in Amazon S3. The data is stored in CSV format, but the schema is not consistent across all files. Which TWO actions can the company take to handle schema evolution and ensure the Glue Data Catalog is up to date? (Choose TWO.)

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

Configure the Glue crawler to update the table schema on each run.

Options A and D are correct. Configuring the Glue crawler to update the table schema on each run (A) allows automatic schema evolution, while scheduling the crawler to run periodically (D) ensures that changes in the data are captured. Option B (manual update) is not scalable. Option C (disabling schema update) would prevent automatic updates. Option E (fixed schema) is impractical for evolving data.

Answer analysis

Option-by-option breakdown

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

  • Configure the Glue crawler to update the table schema on each run.

    Why this is correct

    This allows the crawler to automatically detect and apply schema changes.

  • Manually update the Glue Data Catalog tables whenever the schema changes.

    Why it's wrong here

    Manual updates are not scalable for evolving schemas.

  • Disable schema update in the crawler and add partitions manually.

    Why it's wrong here

    This would require manual effort and is not scalable.

  • Schedule the Glue crawler to run periodically to detect changes.

    Why this is correct

    Periodic crawling ensures the catalog stays updated.

  • Require all data producers to use a single fixed schema.

    Why it's wrong here

    This is not always feasible and defeats the purpose of schema evolution.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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