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Data Ingestion and TransformationmediumMultiple SelectObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

A company uses AWS Glue to transform data in S3. The Glue job fails with memory errors. Which THREE actions can help resolve this?

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

Optimize the transformation to use pushdown predicates.

Options A, B, and C are correct. Using pushdown predicates (A) reduces the amount of data read by filtering at the data source, which can alleviate memory pressure. Using a larger worker type (B), such as G.2X, increases the memory available per worker, directly addressing out-of-memory errors. Increasing the number of DPUs (C) adds more workers, distributing the memory load. Option D (increasing job timeout) does not solve memory issues, and Option E (decreasing DPUs) would reduce available memory, making the problem worse.

Answer analysis

Option-by-option breakdown

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

  • Optimize the transformation to use pushdown predicates.

    Why this is correct

    Pushdown predicates reduce data loaded into memory.

  • Use a larger worker type (e.g., G.2X).

    Why this is correct

    Larger workers have more memory per node.

  • Increase the number of DPUs.

    Why this is correct

    More DPUs distribute the workload and reduce memory pressure per worker.

  • Increase the job timeout.

    Why it's wrong here

    Timeout does not affect memory usage.

  • Decrease the number of DPUs.

    Why it's wrong here

    Fewer DPUs reduce resources and worsen memory errors.

Visual reference

Client Recursive Resolver Root DNS (13 root servers) TLD DNS (.com, .org, …) Authoritative example.com query IP addr answer

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

This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.