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Question 197 of 1,786

Data Ingestion and Transformation →mediumMultiple ChoiceObjective-mapped

Quick Answer

The most cost-effective and operationally efficient approach is to use Amazon Kinesis Data Firehose with HTTP endpoint as the source, directly ingesting streaming data via HTTP POST requests and delivering it to Amazon S3. This works because Kinesis Data Firehose natively accepts HTTP data, automatically buffers and compresses it, then writes it to S3 without requiring any servers or additional infrastructure to manage—making it ideal for the 100 MB per hour volume described. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of serverless ingestion patterns versus over-engineered solutions; a common trap is adding unnecessary layers like API Gateway and Lambda or a consumer for SQS, which increase cost and complexity for simple streaming needs. Remember the memory tip: "Firehose fires straight to S3 from HTTP—no servers, no fuss."

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 wants to ingest data from a SaaS application into Amazon S3. The SaaS application supports streaming data via HTTP POST requests. The data volume is approximately 100 MB per hour, and the company needs to store the raw data in S3 for archival and later analysis. Which approach is the most cost-effective and operationally efficient?

Question 1mediummultiple choice

Full question →

A
Launch a t3.nano EC2 instance that runs a script to receive HTTP POST requests and write to S3.
Why wrong: Requires managing an EC2 instance, patching, and scaling; not cost-effective for low volume.
B
Use Amazon Kinesis Data Firehose with HTTP endpoint as the source, and configure S3 as the destination.
Firehose is serverless, scales automatically, and directly delivers to S3 with no intermediate storage.
C
Use Amazon Simple Queue Service (SQS) to queue the HTTP POST data and have an AWS Lambda function read from SQS and write to S3.
Why wrong: Adds complexity; SQS and Lambda incur costs and Lambda has execution limits.
D
Use Amazon API Gateway to create a REST API that receives the data and triggers an AWS Lambda function to store it in S3.
Why wrong: API Gateway and Lambda add cost and complexity; for simple ingestion, Firehose is more direct.

Full breakdown with real-world context →

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

✓

Use Amazon Kinesis Data Firehose with HTTP endpoint as the source, and configure S3 as the destination.

Option C is correct because Kinesis Data Firehose can directly accept HTTP POST requests via the Kinesis Agent or direct API calls, and it automatically delivers data to S3 with buffering, requiring no servers to manage. Option A is wrong because running an EC2 instance adds operational overhead and cost even if it's small. Option B is wrong because SQS also requires a consumer (e.g., Lambda) to move data to S3, adding complexity. Option D is wrong because API Gateway and Lambda add unnecessary layers and cost for simple ingestion.

Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Launch a t3.nano EC2 instance that runs a script to receive HTTP POST requests and write to S3.
Why it's wrong here
Requires managing an EC2 instance, patching, and scaling; not cost-effective for low volume.
✓
Use Amazon Kinesis Data Firehose with HTTP endpoint as the source, and configure S3 as the destination.
Why this is correct
Firehose is serverless, scales automatically, and directly delivers to S3 with no intermediate storage.
Related concept
Static NAT maps one inside address to one outside address.
✗
Use Amazon Simple Queue Service (SQS) to queue the HTTP POST data and have an AWS Lambda function read from SQS and write to S3.
Why it's wrong here
Adds complexity; SQS and Lambda incur costs and Lambda has execution limits.
✗
Use Amazon API Gateway to create a REST API that receives the data and triggers an AWS Lambda function to store it in S3.
Why it's wrong here
API Gateway and Lambda add cost and complexity; for simple ingestion, Firehose is more direct.

Common exam traps

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Detailed technical explanation

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

Identify inside and outside interfaces first.
Check whether the scenario needs static NAT, dynamic NAT or PAT.
Do not confuse NAT matching ACLs with normal packet-filtering intent.

Key takeaway

NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

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.

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.

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FAQ

Questions learners often ask

What does this DEA-C01 question test?

Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Static NAT maps one inside address to one outside address..

What is the correct answer to this question?

The correct answer is: Use Amazon Kinesis Data Firehose with HTTP endpoint as the source, and configure S3 as the destination. — Option C is correct because Kinesis Data Firehose can directly accept HTTP POST requests via the Kinesis Agent or direct API calls, and it automatically delivers data to S3 with buffering, requiring no servers to manage. Option A is wrong because running an EC2 instance adds operational overhead and cost even if it's small. Option B is wrong because SQS also requires a consumer (e.g., Lambda) to move data to S3, adding complexity. Option D is wrong because API Gateway and Lambda add unnecessary layers and cost for simple ingestion.

What should I do if I get this DEA-C01 question wrong?

What is the key concept behind this question?

Static NAT maps one inside address to one outside address.

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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.