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Data Ingestion and TransformationeasyMultiple ChoiceObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

A data engineer is using AWS Glue to run an ETL job that reads data from Amazon DynamoDB and writes to Amazon Redshift. The job fails with a 'ThroughputExceededException' error. 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

The DynamoDB table's read capacity is insufficient for the Glue job's read rate

The 'ThroughputExceededException' error occurs when AWS Glue reads from DynamoDB at a rate that exceeds the table's provisioned read capacity, causing DynamoDB to throttle requests. Option A is incorrect because a timeout setting would result in a different error (e.g., 'Job run timeout'). Option B is incorrect because Redshift concurrency scaling affects query performance, not DynamoDB read throttling. Option D is incorrect because S3 permissions issues would cause 'AccessDenied' errors, not throughput exceedance.

Answer analysis

Option-by-option breakdown

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

  • The Glue job has a timeout setting that is too low

    Why it's wrong here

    Timeout would cause a different error.

  • The Redshift cluster's concurrency scaling is insufficient

    Why it's wrong here

    Redshift concurrency scaling is for queries, not for Glue writes.

  • The DynamoDB table's read capacity is insufficient for the Glue job's read rate

    Why this is correct

    Glue reads from DynamoDB and may exceed provisioned read capacity, causing throttling.

  • The S3 bucket where Glue writes temporary data does not have proper permissions

    Why it's wrong here

    Permissions issues cause AccessDenied errors, not ThroughputExceeded.

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.