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Data Ingestion and Transformation →easyMultiple 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.

A data engineer is troubleshooting an AWS Glue ETL job that fails with the error: 'An error occurred while calling o137.pyWriteDynamicFrame. No such file or directory: s3://bucket/output/part-00000.parquet'. The job reads from a JDBC source and writes to S3. 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.

A
The schema of the source data has changed, causing a mismatch during write
Why wrong: Would cause schema-related error, not file not found.
B
The output S3 path does not exist and the Glue job does not have permission to create it
The error message indicates missing directory; Glue may not auto-create if permissions are insufficient.
C
The Glue job ran out of memory during the transformation phase
Why wrong: Memory errors produce different error messages.
D
The IAM role attached to the Glue job lacks permissions to read from the JDBC source
Why wrong: Would cause a different error (access denied).

Full breakdown with real-world context →

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 output S3 path does not exist and the Glue job does not have permission to create it

The error 'No such file or directory: s3://bucket/output/part-00000.parquet' indicates that the Glue job is trying to write to an S3 path that does not exist. By default, AWS Glue does not automatically create the target S3 bucket or prefix; it requires the path to already exist or the IAM role to have s3:PutObject permissions that allow the S3 service to create the object. Since the error occurs at the write stage (pyWriteDynamicFrame) and not during read, the most likely cause is that the output S3 path does not exist and the Glue job lacks the necessary permissions to create it.

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 schema of the source data has changed, causing a mismatch during write
Why it's wrong here
Would cause schema-related error, not file not found.
✓
The output S3 path does not exist and the Glue job does not have permission to create it
Why this is correct
The error message indicates missing directory; Glue may not auto-create if permissions are insufficient.
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 Glue job ran out of memory during the transformation phase
Why it's wrong here
Memory errors produce different error messages.
✗
The IAM role attached to the Glue job lacks permissions to read from the JDBC source
Why it's wrong here
Would cause a different error (access denied).

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse a missing S3 path with a permissions issue, but the error message explicitly states 'No such file or directory', which points to the path not existing rather than a generic access denied, and the exam expects you to recognize that Glue does not auto-create the output S3 prefix.

Detailed technical explanation

How to think about this question

AWS Glue ETL jobs use Apache Spark under the hood, and when writing DynamicFrames to S3, Spark's FileOutputCommitter attempts to create the output directory if it does not exist. However, the S3A filesystem connector requires the bucket to exist and the IAM role to have s3:PutObject and s3:ListBucket permissions; if the prefix does not exist, the connector may fail with a 'No such file or directory' error unless the role also has s3:PutObject permission that allows implicit directory creation. This behavior is distinct from HDFS, where directories are created automatically by the NameNode.

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 Class	Min Duration	Retrieval	Use Case
S3 Standard	None	Immediate	Frequently accessed data
S3 Standard-IA	30 days	Immediate	Infrequent access, rapid retrieval
S3 One Zone-IA	30 days	Immediate	Non-critical infrequent data
S3 Intelligent-Tiering	None	Immediate–hours	Unknown or changing access patterns
S3 Glacier Instant	90 days	Milliseconds	Archive with instant retrieval
S3 Glacier Flexible	90 days	Minutes–hours	Archive, flexible retrieval
S3 Glacier Deep Archive	180 days	Hours	Long-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.

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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 output S3 path does not exist and the Glue job does not have permission to create it — The error 'No such file or directory: s3://bucket/output/part-00000.parquet' indicates that the Glue job is trying to write to an S3 path that does not exist. By default, AWS Glue does not automatically create the target S3 bucket or prefix; it requires the path to already exist or the IAM role to have s3:PutObject permissions that allow the S3 service to create the object. Since the error occurs at the write stage (pyWriteDynamicFrame) and not during read, the most likely cause is that the output S3 path does not exist and the Glue job lacks the necessary permissions to create it.

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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