The correct approach is to use a single Kinesis Data Firehose with a Lambda transformation that reads schema metadata from DynamoDB to determine the S3 prefix. This minimizes transformation overhead because the Lambda function acts as a lightweight, serverless router—it inspects each record’s schema, queries DynamoDB for the corresponding source-to-prefix mapping, and dynamically sets the S3 prefix in the Firehose response, all without requiring multiple streams or heavy ETL jobs. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of how to decouple schema routing from ingestion pipelines while keeping operational overhead low; a common trap is assuming you need separate Kinesis streams per source, which increases cost and complexity. Remember the key principle: use DynamoDB as a schema registry to avoid hardcoding routing logic, and keep Firehose as a single ingestion point. Memory tip: think “Firehose + Lambda + DynamoDB = Schema Router.”
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 ingests streaming data from multiple sources into a single Kinesis Data Streams stream. Each source produces records with a different schema. The data must be routed to different S3 prefixes based on the source. Which approach minimizes transformation overhead?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a single Kinesis Data Firehose with a Lambda transformation that reads schema metadata from DynamoDB to determine the S3 prefix.
Option A is correct because using a DynamoDB table to store schema metadata and a Lambda function to route records to the appropriate Firehose delivery stream is efficient and scalable. Option B is wrong because it requires multiple Kinesis streams, increasing cost and complexity. Option C is wrong because ingesting into S3 and then using Glue to route adds latency. Option D is wrong because using Kinesis Data Analytics for routing is overkill and not designed for this purpose.
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.
✓
Use a single Kinesis Data Firehose with a Lambda transformation that reads schema metadata from DynamoDB to determine the S3 prefix.
Why this is correct
This approach uses DynamoDB for schema metadata and Lambda for lightweight routing.
Related concept
Read the scenario before looking for a memorised answer.
✗
Ingest all data into S3 and use AWS Glue ETL jobs to partition and route data to different prefixes.
Why it's wrong here
This adds latency and complexity.
✗
Use separate Kinesis Data Streams for each source and configure separate Firehose delivery streams.
Why it's wrong here
This increases management overhead and cost.
✗
Use Kinesis Data Analytics to run SQL queries that route data to different Firehose streams.
Why it's wrong here
Kinesis Data Analytics is for real-time analytics, not routing.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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: Use a single Kinesis Data Firehose with a Lambda transformation that reads schema metadata from DynamoDB to determine the S3 prefix. — Option A is correct because using a DynamoDB table to store schema metadata and a Lambda function to route records to the appropriate Firehose delivery stream is efficient and scalable. Option B is wrong because it requires multiple Kinesis streams, increasing cost and complexity. Option C is wrong because ingesting into S3 and then using Glue to route adds latency. Option D is wrong because using Kinesis Data Analytics for routing is overkill and not designed for this purpose.
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.
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Question Discussion
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