The answer is that the schema is not defined in the AWS Glue Data Catalog. Kinesis Data Firehose requires a registered schema to perform the Parquet conversion, as Parquet is a columnar format that relies on predefined column names and data types; without a Glue table pointing to the target S3 location, Firehose has no blueprint to map the incoming JSON fields. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of Firehose’s dependency on external schema registries—a common trap is assuming conversion fails due to data size or that a Lambda function is mandatory, but the core requirement is simply a Glue Data Catalog table. Remember the mnemonic: “No Glue, no Parquet—Firehose needs a schema to complete the feat.”
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 company uses Amazon Kinesis Data Firehose to deliver streaming data to Amazon S3. The data is in JSON format and needs to be converted to Parquet. However, the conversion is failing. 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.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The schema is not defined in the AWS Glue Data Catalog
Kinesis Data Firehose requires a schema to convert to Parquet. This schema can be provided by a Glue Data Catalog table. If the schema is not defined, the conversion fails. Data size is not an issue for conversion. Kinesis Data Streams is not involved here. Lambda transformation can convert to Parquet but is not required.
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 data transformation Lambda function is not converting to Parquet
Why it's wrong here
Lambda transformation is optional; Firehose can do conversion natively with a schema.
✓
The schema is not defined in the AWS Glue Data Catalog
Why this is correct
Parquet conversion requires a schema; without it, Firehose cannot convert.
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 data size exceeds the 1 MB limit per record
Why it's wrong here
Firehose can handle large records; the limit is for Kinesis Data Streams.
✗
The delivery stream is configured to use Kinesis Data Streams as source
Why it's wrong here
Firehose can use Data Streams as source; that does not prevent Parquet conversion.
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.
What to study next
Got this wrong? Here's your next step.
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.
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 schema is not defined in the AWS Glue Data Catalog — Kinesis Data Firehose requires a schema to convert to Parquet. This schema can be provided by a Glue Data Catalog table. If the schema is not defined, the conversion fails. Data size is not an issue for conversion. Kinesis Data Streams is not involved here. Lambda transformation can convert to Parquet but is not required.
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.
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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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.
Question Discussion
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