The answer is to configure a Lambda function in the Firehose delivery stream to transform records before delivery. This approach is the most cost-effective and operationally lightweight because Kinesis Data Firehose natively invokes a Lambda function for record transformation, allowing you to reshape JSON data to match the Redshift table schema without managing any servers or additional services. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of the Firehose-to-Redshift pipeline and the principle of using managed services to minimize overhead. A common trap is choosing AWS Glue for transformation, which adds unnecessary cost and complexity for simple record-level changes, or attempting to write directly to Redshift without transformation, which Firehose cannot do. Remember the memory tip: “Lambda in the stream keeps the pipeline lean”—if you need to tweak records before Redshift, let Firehose call Lambda, not Glue or custom code.
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 setting up an Amazon Kinesis Data Firehose delivery stream to load data into Amazon Redshift. The data is coming from an application that produces JSON records. The engineer needs to transform the data to match the Redshift table schema. Which approach is the MOST cost-effective and requires the least operational overhead?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "least"
Why it matters: You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure a Lambda function in the Firehose delivery stream to transform records before delivery.
Using Firehose's built-in Lambda transformation function is the simplest and most cost-effective approach. Option A is wrong because Firehose cannot directly write to Redshift without transformation. Option B is wrong because Glue adds extra cost and complexity. Option D is wrong because KCL requires custom code and management.
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 AWS Glue as a transformation step between Firehose and Redshift, with a trigger on S3.
Why it's wrong here
Adding Glue increases latency and cost.
✗
Use Kinesis Data Firehose with direct PUT to Redshift and rely on Redshift's COPY command to transform.
Why it's wrong here
Firehose cannot directly PUT to Redshift; it uses COPY, but transformation must be done upstream.
✓
Configure a Lambda function in the Firehose delivery stream to transform records before delivery.
Why this is correct
Firehose supports Lambda for data transformation with minimal overhead.
Clue confirmation
The clue word "least" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use the Kinesis Client Library (KCL) to consume the stream, transform in an EC2 instance, and then load to Redshift.
Why it's wrong here
This adds operational overhead and cost.
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: Configure a Lambda function in the Firehose delivery stream to transform records before delivery. — Using Firehose's built-in Lambda transformation function is the simplest and most cost-effective approach. Option A is wrong because Firehose cannot directly write to Redshift without transformation. Option B is wrong because Glue adds extra cost and complexity. Option D is wrong because KCL requires custom code and management.
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: "least". You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.
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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