Question 1,338 of 1,786
Data Ingestion and TransformationhardMultiple ChoiceObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

This DEA-C01 practice question tests your understanding of data ingestion and transformation. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

Network Topology
aws cloudformation describe-stacksstack-name DataPipelinequery 'Stacks[0].Outputs'output json"OutputKey": "GlueJobName","OutputValue": "transform-csv-to-parquet"},"OutputKey": "S3BucketRaw","OutputValue": "raw-data-bucket""OutputKey": "S3BucketProcessed","OutputValue": "processed-data-bucket"

Refer to the exhibit. A CloudFormation stack outputs the Glue job name and S3 bucket names. The Glue job transforms CSV files from the raw bucket to Parquet in the processed bucket. However, the Glue job is failing with an error that it cannot write to the processed bucket. What is the most likely cause?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "most likely"

    Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

Network Topology
aws cloudformation describe-stacksstack-name DataPipelinequery 'Stacks[0].Outputs'output json"OutputKey": "GlueJobName","OutputValue": "transform-csv-to-parquet"},"OutputKey": "S3BucketRaw","OutputValue": "raw-data-bucket""OutputKey": "S3BucketProcessed","OutputValue": "processed-data-bucket"

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 Glue job does not have permission to write to the processed bucket

The most likely cause is that the Glue job's IAM role lacks the necessary permissions (e.g., s3:PutObject, s3:ListBucket) on the processed bucket. AWS Glue jobs require an IAM role with policies that grant write access to the target S3 bucket; without these permissions, the job fails with a write error. This is a common misconfiguration when the role is scoped only to read from the raw bucket.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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 does not have permission to write to the processed bucket

    Why this is correct

    Missing s3:PutObject on processed-bucket.

    Clue confirmation

    The clue word "most likely" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • The raw data bucket is in a different region

    Why it's wrong here

    Would cause read failure, not write.

  • The Glue job is not using the correct worker type

    Why it's wrong here

    Worker type affects performance, not permissions.

  • The Glue job is using an incorrect file format

    Why it's wrong here

    Would cause conversion error, not permission error.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The DEA-C01 exam often tests the misconception that S3 write failures are caused by region mismatches or file format issues, but the actual trap is that candidates overlook the IAM permission layer and attribute the error to non-permission factors like worker type or data format.

Detailed technical explanation

How to think about this question

AWS Glue jobs execute under an IAM role that must have an attached policy granting s3:PutObject and s3:ListBucket on the target bucket's ARN (e.g., arn:aws:s3:::processed-bucket/*). The error surfaces when the Glue job's Spark DataFrame attempts to write via the Hadoop S3A connector, which checks bucket-level permissions before committing the output. In real-world scenarios, this often occurs when the role is created with a least-privilege policy that inadvertently omits the write action or uses a bucket policy that denies the role.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

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

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Related practice questions

Related DEA-C01 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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FAQ

Questions learners often ask

What does this DEA-C01 question test?

Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The Glue job does not have permission to write to the processed bucket — The most likely cause is that the Glue job's IAM role lacks the necessary permissions (e.g., s3:PutObject, s3:ListBucket) on the processed bucket. AWS Glue jobs require an IAM role with policies that grant write access to the target S3 bucket; without these permissions, the job fails with a write error. This is a common misconfiguration when the role is scoped only to read from the raw bucket.

What should I do if I get this DEA-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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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.