Quick Answer
The answer is Amazon Kinesis Data Streams, the Kinesis Client Library (KCL), and Amazon Kinesis Data Firehose delivering to Amazon S3. This trio works because Kinesis Data Streams acts as the durable, real-time ingestion layer for clickstream data, the KCL enables consumers to process that data in real time for analytics, and Kinesis Data Firehose automatically buffers and writes the same stream to Amazon S3 for later batch processing. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of how to architect a unified pipeline that serves both real-time and batch workloads from a single stream, a common scenario in data engineering. A frequent trap is confusing Kinesis Data Analytics (which is for real-time SQL, not batch) or Amazon SQS (a message queue, not a streaming buffer). Remember the memory tip: “Stream for live, Firehose for file, KCL for compute.”
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 data ingestion pipeline for real-time clickstream data. The data must be available for both real-time analytics and batch processing. The engineer wants to use Amazon Kinesis Data Streams. Which THREE components should be included in the architecture?
Amazon Kinesis Data Analytics
Why wrong: Used for real-time analytics, not batch.
Amazon Kinesis Data Streams
Primary ingestion service.
Amazon Kinesis Client Library (KCL) application
For real-time processing of the stream.
Amazon Kinesis Data Firehose to deliver data to Amazon S3
For batch storage.
Amazon SQS as a buffer
Why wrong: Not needed with Kinesis.
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 Streams
Kinesis Data Streams ingests data, Kinesis Client Library (KCL) consumes for real-time analytics, and Kinesis Data Firehose delivers to S3 for batch. Kinesis Data Analytics is for real-time SQL, not batch; SQS is not used; Glue is batch but not directly from stream.
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 Analytics
Why it's wrong here
Used for real-time analytics, not batch.
Amazon Kinesis Data Streams
Why this is correct
Primary ingestion service.
Related concept
Read the scenario before looking for a memorised answer.
Amazon Kinesis Client Library (KCL) application
Why this is correct
For real-time processing of the stream.
Related concept
Read the scenario before looking for a memorised answer.
Amazon Kinesis Data Firehose to deliver data to Amazon S3
Why this is correct
For batch storage.
Related concept
Read the scenario before looking for a memorised answer.
Amazon SQS as a buffer
Why it's wrong here
Not needed with Kinesis.
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 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
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.
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FAQ
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon Kinesis Data Streams — Kinesis Data Streams ingests data, Kinesis Client Library (KCL) consumes for real-time analytics, and Kinesis Data Firehose delivers to S3 for batch. Kinesis Data Analytics is for real-time SQL, not batch; SQS is not used; Glue is batch but not directly from stream.
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.
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 20, 2026
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.
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