Question 1,117 of 1,786
Data Ingestion and TransformationhardMultiple ChoiceObjective-mapped

Quick Answer

The answer is Amazon Kinesis Data Streams with Kinesis Data Analytics for Apache Flink. This combination achieves exactly-once processing in streaming by leveraging Kinesis’s per-record sequence numbers alongside Flink’s built-in checkpointing and idempotent sinks, which together guarantee that each record is processed precisely once even when retries introduce duplicates. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of how to enforce strict processing semantics for financial pipelines, with a common trap being to confuse Firehose’s at-least-once delivery or SQS’s best-effort deduplication with true exactly-once. Remember that Kinesis Data Streams provides the ordered, replayable source, while Flink’s exactly-once mode handles the state consistency—a pairing that directly answers the search intent for exactly-once processing streaming AWS. Memory tip: think “Sequence + Sink = Single” to recall that sequence numbers from Kinesis and an idempotent sink in Flink eliminate duplicates.

DEA-C01 Data Ingestion and Transformation Practice Question

This DEA-C01 practice question tests your understanding of data ingestion and transformation. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 data ingestion pipeline for real-time financial transactions. The pipeline must ensure exactly-once processing semantics and must handle duplicate records that may occur due to retries. Which combination of AWS services can achieve exactly-once processing?

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 Amazon Kinesis Data Analytics for Apache Flink

Option A is correct because Kinesis Data Streams provides sequence numbers, and Kinesis Data Analytics can use Flink's exactly-once semantics with idempotent sinks. Option B (Firehose) provides at-least-once. Option C (SQS) provides at-least-once. Option D (MSK) can achieve exactly-once but requires more configuration and is not as straightforward.

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.

  • Amazon Kinesis Data Streams with Amazon Kinesis Data Analytics for Apache Flink

    Why this is correct

    Flink supports exactly-once processing with KDS.

    Related concept

    Static NAT maps one inside address to one outside address.

  • Amazon SQS with AWS Lambda

    Why it's wrong here

    SQS standard queues are at-least-once; FIFO queues can deduplicate but add complexity.

  • Amazon MSK with AWS Lambda

    Why it's wrong here

    MSK can achieve exactly-once but requires careful configuration; Lambda is not the best consumer for exactly-once.

  • Amazon Kinesis Data Firehose with AWS Lambda

    Why it's wrong here

    Firehose is at-least-once; Lambda does not guarantee deduplication.

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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

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

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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 Amazon Kinesis Data Analytics for Apache Flink — Option A is correct because Kinesis Data Streams provides sequence numbers, and Kinesis Data Analytics can use Flink's exactly-once semantics with idempotent sinks. Option B (Firehose) provides at-least-once. Option C (SQS) provides at-least-once. Option D (MSK) can achieve exactly-once but requires more configuration and is not as straightforward.

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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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.