The answer is Amazon Kinesis Data Analytics for Apache Flink. This service is the correct choice because it is purpose-built for stateful processing, maintaining state across multiple records through checkpointing and fault-tolerant snapshots, which is essential when a complex transformation exceeds the 15-minute Lambda timeout. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your ability to distinguish between stateless and stateful streaming services, with a common trap being Amazon Kinesis Data Firehose, which is stateless and cannot track record history. The exam expects you to recognize that Kinesis Data Analytics for Flink integrates directly with Kinesis Data Streams and handles long-running, stateful logic without requiring cluster management like Amazon EMR. A helpful memory tip is to associate "Flink" with "stateful link" — if your pipeline needs to remember past data, think Flink.
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 data from an Amazon Kinesis Data Stream (with 5 shards) into Amazon S3. The data must be transformed using a complex stateful operation that cannot be done in a Lambda function (limited to 15 minutes). The engineer needs a solution that can maintain state across multiple records. Which service should be used?
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 Kinesis Data Analytics for Apache Flink supports stateful processing with checkpointing. Option B (Firehose) is stateless. Option C (Glue Streaming) is in beta and less mature. Option D (EMR) requires cluster management.
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 EMR running Spark Structured Streaming
Why it's wrong here
EMR can do stateful streaming but requires cluster management, increasing operational overhead.
✗
Amazon Kinesis Data Firehose with Lambda transformation
Why it's wrong here
Lambda has a 15-minute timeout and is stateless; not suitable for complex stateful operations.
✗
AWS Glue streaming ETL job
Why it's wrong here
Glue streaming is based on Spark and has limited stateful support; less mature than Flink.
✓
Amazon Kinesis Data Analytics for Apache Flink
Why this is correct
Flink supports stateful stream processing, exactly what is needed.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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
How to think about this question
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.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which DEA-C01 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.
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 Analytics for Apache Flink — Option A is correct because Kinesis Data Analytics for Apache Flink supports stateful processing with checkpointing. Option B (Firehose) is stateless. Option C (Glue Streaming) is in beta and less mature. Option D (EMR) requires cluster management.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-C01 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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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 engineering team is designing a data ingestion pipeline for a social media analytics platform. The pipeline must handle up to 100,000 events per second with less than 1 second processing latency. Which TWO services should be used together to meet these requirements?
medium
A.AWS Glue streaming ETL
B.Amazon Kinesis Data Firehose
C.Amazon SQS
✓ D.Amazon Kinesis Data Analytics for Apache Flink
✓ E.Amazon Kinesis Data Streams
Why D: A (Kinesis Data Streams) provides the high-throughput ingestion layer, and C (Kinesis Data Analytics for Apache Flink) provides low-latency stream processing. B (SQS) is a queue, not optimized for high-throughput streams. D (Firehose) has higher latency (buffering). E (Glue) is batch-oriented.
Variation 2. A data engineering team is designing a near-real-time data ingestion pipeline for IoT sensor data. The data must be processed and stored in Amazon S3, with transformations applied before storage. The team needs to handle potential duplicates and ensure exactly-once processing semantics. Which TWO AWS services should be used together? (Choose TWO.)
hard
A.Amazon Kinesis Data Firehose
B.Amazon Simple Queue Service (SQS)
✓ C.Amazon Kinesis Data Analytics for Apache Flink
✓ D.Amazon Kinesis Data Streams
E.AWS Database Migration Service (DMS)
Why C: Options B and C are correct. Kinesis Data Streams provides ordered data and can integrate with Kinesis Data Analytics for Flink, which supports exactly-once semantics. Option A (Firehose) provides at-least-once delivery. Option D (SQS) is for decoupling but does not provide exactly-once. Option E (DMS) is for database replication.
Last reviewed: Jun 20, 2026
Question Discussion
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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.
Question Discussion
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