- A
Pre-process the JSON files to correct the malformed records before Glue reads them.
Why wrong: Pre-processing adds complexity and may not be feasible.
- B
Convert the JSON files to Parquet format and use Glue to read Parquet.
Why wrong: Converting format does not fix malformed JSON.
- C
Use AWS Glue Schema Registry to reject invalid records.
Why wrong: Schema Registry validates schemas, not individual records.
- D
Configure the Glue DynamicFrame to use the `withErrorThreshold` option to skip corrupt records.
Glue can skip malformed records using error thresholds.
Question 1,535 of 1,786
DEA-C01 Data Operations and Support Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. 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 runs an AWS Glue ETL job that reads from an S3 bucket containing JSON files. The job fails with an error indicating that some records are malformed. The engineer wants to skip the malformed records and continue processing. Which approach should the engineer take?
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 DynamicFrame to use the `withErrorThreshold` option to skip corrupt records.
Option D is correct because the `withErrorThreshold` option on an AWS Glue DynamicFrame allows the ETL job to skip a specified number of corrupt or malformed records without failing. This is the most direct way to handle malformed JSON records in Glue. Option A is incorrect because pre-processing all files is inefficient and may not be feasible for large datasets. Option B is incorrect because converting to Parquet does not address the issue of malformed JSON within the existing files. Option C is incorrect because AWS Glue Schema Registry validates schema compliance, not individual record malformation; it would reject entire datasets that don't match the schema, not skip malformed records.
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.
- ✗
Pre-process the JSON files to correct the malformed records before Glue reads them.
Why it's wrong here
Pre-processing adds complexity and may not be feasible.
- ✗
Convert the JSON files to Parquet format and use Glue to read Parquet.
Why it's wrong here
Converting format does not fix malformed JSON.
- ✗
Use AWS Glue Schema Registry to reject invalid records.
Why it's wrong here
Schema Registry validates schemas, not individual records.
- ✓
Configure the Glue DynamicFrame to use the `withErrorThreshold` option to skip corrupt records.
Why this is correct
Glue can skip malformed records using error thresholds.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Operations and Support — This question tests Data Operations and Support — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure the Glue DynamicFrame to use the `withErrorThreshold` option to skip corrupt records. — Option D is correct because the `withErrorThreshold` option on an AWS Glue DynamicFrame allows the ETL job to skip a specified number of corrupt or malformed records without failing. This is the most direct way to handle malformed JSON records in Glue. Option A is incorrect because pre-processing all files is inefficient and may not be feasible for large datasets. Option B is incorrect because converting to Parquet does not address the issue of malformed JSON within the existing files. Option C is incorrect because AWS Glue Schema Registry validates schema compliance, not individual record malformation; it would reject entire datasets that don't match the schema, not skip malformed records.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 20, 2026
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