Quick Answer
The answer is Amazon Kinesis Data Analytics for Apache Flink because it is the only AWS service that natively supports exactly-once processing semantics for streaming data. Apache Flink achieves this through a combination of checkpointing, consistent state snapshots, and two-phase commit protocols, ensuring that replayed events are idempotent and produce no duplication even during failures or reprocessing. On the AWS Certified Solutions Architect Professional SAP-C02 exam, this question tests your ability to distinguish between exactly-once and at-least-once guarantees across streaming services—a common trap is choosing AWS Lambda or Kinesis Data Firehose, which only offer at-least-once delivery. Remember that Kinesis Data Analytics for Apache Flink is the only option that provides transactional output with exactly-once semantics, while Lambda and SQS are inherently at-least-once. A useful memory tip: think of Flink as the "Flinker" that locks each event exactly once, whereas others "fling" events potentially multiple times.
This SAP-C02 practice question tests your understanding of design for new solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 is designing a new solution to process a continuous stream of events from multiple sources. The events must be processed in real-time with exactly-once processing semantics. The solution should be able to handle replayed events without duplication. Which AWS service should be used for the event processing?
Amazon Kinesis Data Firehose
Why wrong: Firehose is for loading streaming data into destinations, not for custom processing.
AWS Lambda with Kinesis trigger
Why wrong: Lambda with Kinesis trigger provides at-least-once processing.
Amazon Kinesis Data Analytics for Apache Flink
Apache Flink provides exactly-once processing semantics.
Amazon Simple Queue Service (SQS) with Lambda
Why wrong: SQS provides at-least-once delivery.
Answer choices
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 Analytics for Apache Flink
Option A is correct because Amazon Kinesis Data Analytics for Apache Flink provides exactly-once processing semantics. Option B is wrong because Lambda functions are at-least-once. Option C is wrong because Kinesis Data Firehose is for loading data, not processing. Option D is wrong because SQS is at-least-once.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon Kinesis Data Firehose
Why it's wrong here
Firehose is for loading streaming data into destinations, not for custom processing.
AWS Lambda with Kinesis trigger
Why it's wrong here
Lambda with Kinesis trigger provides at-least-once processing.
Amazon Kinesis Data Analytics for Apache Flink
Why this is correct
Apache Flink provides exactly-once processing semantics.
Related concept
Read the scenario before looking for a memorised answer.
Amazon Simple Queue Service (SQS) with Lambda
Why it's wrong here
SQS provides at-least-once delivery.
Common exam traps
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
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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. 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
Identify which SAP-C02 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.
Design for New Solutions — study guide chapter
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FAQ
Design for New Solutions — This question tests Design for New Solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon Kinesis Data Analytics for Apache Flink — Option A is correct because Amazon Kinesis Data Analytics for Apache Flink provides exactly-once processing semantics. Option B is wrong because Lambda functions are at-least-once. Option C is wrong because Kinesis Data Firehose is for loading data, not processing. Option D is wrong because SQS is at-least-once.
Identify which SAP-C02 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.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
This SAP-C02 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 SAP-C02 exam.
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