The correct answer involves three steps: setting the Firehose delivery stream’s schema mapping to reference the Glue table, enabling data format conversion in the Firehose console, and ensuring the Glue Data Catalog contains the target table with the Parquet schema. This works because Kinesis Data Firehose natively integrates with the AWS Glue Data Catalog to retrieve a schema definition, then performs server-side conversion from JSON to Parquet before writing to S3—no separate transformation code or additional services are needed. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of Firehose’s built-in format conversion feature and its dependency on the Glue Data Catalog, not on DynamoDB or Kinesis Data Analytics. A common trap is assuming you need a separate stream-processing engine like Kinesis Data Analytics, but Firehose handles the conversion directly when pointed at a Glue table. Memory tip: think “Firehose + Glue = Parquet in S3 without code.”
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 a Kinesis Data Firehose delivery stream to load data into an S3 bucket. The data is in JSON format and must be converted to Parquet before landing in S3. Which steps are required to achieve this? (Choose THREE.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure the Firehose delivery stream to enable data format conversion to Parquet.
Option A, Option C, and Option E are correct because Firehose can convert to Parquet using a schema from a Glue table, and the table must be registered in the Data Catalog. Option B is wrong because Firehose does not use DynamoDB. Option D is wrong because Kinesis Data Analytics is for stream processing, not conversion.
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.
✓
Configure the Firehose delivery stream to enable data format conversion to Parquet.
Why this is correct
Firehose has built-in conversion capability.
Related concept
Read the scenario before looking for a memorised answer.
✓
Create a table in the AWS Glue Data Catalog with the schema.
Why this is correct
Firehose uses the Glue schema for Parquet conversion.
Related concept
Read the scenario before looking for a memorised answer.
✗
Store the schema in Amazon DynamoDB.
Why it's wrong here
Firehose does not use DynamoDB for schema.
✓
Set the Firehose's schema mapping to reference the Glue table.
Why this is correct
Firehose needs to know which Glue table to use.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Kinesis Data Analytics to convert the data.
Why it's wrong here
Data Analytics is for stream processing, not direct 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: Configure the Firehose delivery stream to enable data format conversion to Parquet. — Option A, Option C, and Option E are correct because Firehose can convert to Parquet using a schema from a Glue table, and the table must be registered in the Data Catalog. Option B is wrong because Firehose does not use DynamoDB. Option D is wrong because Kinesis Data Analytics is for stream processing, not conversion.
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 →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company wants to ingest streaming data from IoT devices into Amazon S3 using Amazon Kinesis Data Firehose. The data must be transformed from JSON to Parquet format before landing in S3. What is the SIMPLEST way to achieve this?
easy
A.Configure Kinesis Data Firehose with a built-in Parquet converter.
✓ B.Use an AWS Lambda function as a data transformation in Kinesis Data Firehose to convert JSON to Parquet.
C.Use Kinesis Data Firehose to deliver data directly to S3 in JSON format and run a nightly Glue job to convert to Parquet.
D.Use Kinesis Data Analytics to convert the data to Parquet before sending to Firehose.
Why B: Option D is correct because Kinesis Data Firehose can use an AWS Lambda function for data transformation, and converting to Parquet can be done via a Lambda function. Option A is wrong because Firehose can deliver to S3 directly. Option B is wrong because Firehose can transform without a separate Glue job. Option C is wrong because Firehose does not natively support Parquet conversion without a transformation.
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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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