- A
Amazon Kinesis Data Streams with Amazon Kinesis Data Analytics for Apache Flink
Flink supports exactly-once processing with KDS.
- B
Amazon SQS with AWS Lambda
Why wrong: SQS standard queues are at-least-once; FIFO queues can deduplicate but add complexity.
- C
Amazon MSK with AWS Lambda
Why wrong: MSK can achieve exactly-once but requires careful configuration; Lambda is not the best consumer for exactly-once.
- D
Amazon Kinesis Data Firehose with AWS Lambda
Why wrong: Firehose is at-least-once; Lambda does not guarantee deduplication.
Question 1,117 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 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?
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
Amazon Kinesis Data Streams with Kinesis Data Analytics for Apache Flink enables exactly-once processing by leveraging Flink's built-in checkpointing and two-phase commit protocols. Kinesis Data Streams provides a durable, ordered record store, while Flink uses its internal state and idempotent sinks to deduplicate records that arise from retries, ensuring each record is processed exactly once.
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.
- ✓
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
Read the scenario before looking for a memorised answer.
- ✗
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: answer the scenario, not the keyword
The trap here is that candidates often assume SQS FIFO or Lambda's idempotency can achieve exactly-once, but they overlook that without a stream processing framework with checkpointing and transactional sinks, retries can still introduce duplicates in distributed systems.
Detailed technical explanation
How to think about this question
Under the hood, Flink achieves exactly-once by periodically taking consistent snapshots of its state and using a two-phase commit sink (e.g., Kinesis sink with transactional writes). When a failure occurs, Flink restores from the last checkpoint and replays records from the stream, but the sink's transaction ensures duplicates are not committed. In real-world scenarios, this is critical for financial transactions where a duplicate charge could cause significant financial loss.
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.
TExam Day Tips
- 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 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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Data Ingestion and Transformation — study guide chapter
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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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Kinesis Data Streams with Amazon Kinesis Data Analytics for Apache Flink — Amazon Kinesis Data Streams with Kinesis Data Analytics for Apache Flink enables exactly-once processing by leveraging Flink's built-in checkpointing and two-phase commit protocols. Kinesis Data Streams provides a durable, ordered record store, while Flink uses its internal state and idempotent sinks to deduplicate records that arise from retries, ensuring each record is processed exactly once.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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