Question 1,059 of 1,786
Data Ingestion and TransformationhardMultiple ChoiceObjective-mapped

Quick Answer

The answer is Amazon Kinesis Data Streams with Kinesis Data Firehose delivery to S3, as this combination directly addresses the need for real-time streaming to S3 with Kinesis while remaining cost-effective. Kinesis Data Streams ingests the high-throughput data from 10,000 devices at 1 KB per second, and Firehose automatically batches and delivers that data to S3 in near real-time, with optional Lambda transformations for processing. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of streaming ingestion versus batch-oriented or managed alternatives; a common trap is choosing SQS FIFO for its ordering, but it cannot handle the required throughput, while MSK adds unnecessary operational overhead. Remember the memory tip: “Streams for speed, Firehose for S3 feed”—Kinesis Data Streams handles the firehose of incoming data, and Firehose handles the hose to S3, making them the natural pair for cost-effective, real-time analytics pipelines.

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 data engineer is designing a streaming pipeline that ingests IoT sensor data from 10,000 devices. Each device sends a 1 KB message every second. The data must be processed in near real-time and stored in S3 for analytics. Which combination of services provides the most cost-effective solution?

Question 1hardmultiple choice
Read the full NAT/PAT explanation →

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

Amazon Kinesis Data Streams with Kinesis Data Firehose delivery to S3.

Option B is correct because Kinesis Data Streams ingests high-throughput data, and Firehose delivers batches to S3 with optional Lambda transformations. Option A is wrong because SQS FIFO is not designed for high-throughput streaming. Option C is wrong because MSK requires more management. Option D is wrong because Data Pipeline is batch-oriented.

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.

  • AWS Data Pipeline with periodic S3 copy.

    Why it's wrong here

    Not near real-time.

  • Amazon Kinesis Data Streams with Kinesis Data Firehose delivery to S3.

    Why this is correct

    Handles high throughput, Firehose batches to S3.

    Related concept

    Static NAT maps one inside address to one outside address.

  • Amazon MSK (Managed Streaming for Kafka) with Kafka Connect S3 sink.

    Why it's wrong here

    More complex and costly.

  • Amazon SQS FIFO queue with Lambda consumers writing to S3.

    Why it's wrong here

    SQS FIFO throughput is limited (300 TPS).

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.

Related practice questions

Related DEA-C01 practice-question pages

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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: Amazon Kinesis Data Streams with Kinesis Data Firehose delivery to S3. — Option B is correct because Kinesis Data Streams ingests high-throughput data, and Firehose delivers batches to S3 with optional Lambda transformations. Option A is wrong because SQS FIFO is not designed for high-throughput streaming. Option C is wrong because MSK requires more management. Option D is wrong because Data Pipeline is batch-oriented.

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

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.

What is the key concept behind this question?

Static NAT maps one inside address to one outside address.

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Same concept, more angles

1 more ways this is tested on DEA-C01

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 data engineer is designing a real-time streaming pipeline to ingest clickstream data from a website into Amazon S3. The data must be transformed before storage. Which TWO AWS services can be used together to build this pipeline? (Choose TWO.)

easy
  • A.Amazon Kinesis Data Firehose
  • B.AWS Glue
  • C.Amazon Kinesis Data Streams
  • D.Amazon S3 Transfer Acceleration
  • E.AWS Database Migration Service (DMS)

Why A: Option A and Option E are correct. Amazon Kinesis Data Streams (A) can ingest streaming data, and Amazon Kinesis Data Firehose (E) can deliver the data to S3 with optional transformation via Lambda. Option B (S3 Transfer Acceleration) is for accelerating uploads to S3, not for streaming. Option C (AWS DMS) is for database migration. Option D (AWS Glue) is for batch ETL, not real-time.

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Last reviewed: Jun 20, 2026

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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.